This document provides a comprehensive overview of manufacturing systems, including key performance indicators, approaches for establishing performance measures, product flow analysis, and different types of plant layouts. It also discusses process improvement techniques in the scope of lean manufacturing systems.
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Running head: MANUFACTURING SYSTEMS Manufacturing Systems Name of the Student Name of the University Author’s Note:
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1 MANUFACTURING SYSTEMS Table of Contents Part A.........................................................................................................................................2 Part B........................................................................................................................................12 Part C........................................................................................................................................15 References................................................................................................................................17
2 MANUFACTURING SYSTEMS Part A i)Review of Manufacturing Systems and Key Performance Indicators or KPIs with proper Developments in Manufacturing Systems for Addressing Competitiveness Issues The KPI or key performance indicator is termed as a specific business metric, which is being properly used by several managers and even the corporate executives with the core purpose of tracking as well as analysing few factors, which are thenconsidered as the most vital requirements for making an organization successful than others (Chryssolouris 2013). By keeping focus on the employees over the business initiatives or tasks, it is quite challenging to reinforce the overall value and importance of the activities. Moreover, the direct competitors within an industry is more likely to effectively monitor the various sets of key performance indicators that are being tailored to the individual business strategy as well as management philosophies. Each and every performance indicator is different from the other and each of them is being enhanced based on the business priorities. The entire process of this key performance indicator comprises of few steps. The first step of this particular process is to identify the collection of various important indicators of performance to perfectly track the organization and business unit (Kalpakjian, Vijai Sekar and Schmid 2014). Second distinctive step of the procedure of key performance indicator is properly creating the dash boards and score cards to effectively measure as well as display the outcomes of these key performance indicators. Proper evaluation of the measurement that how the business goals could be fulfilled effectively is the next subsequent step in the process of KPI. The next significant step in this procedure of KPI is the changing or alteration of several strategies and processes that are needed to improve the total performances of the indicators (Salonitis and Ball 2013). The final step in this specified procedure of measuring key performance indicator is a major
3 MANUFACTURING SYSTEMS evaluation of the factor that whether all the key performance indicators are properly aligned with these objectives or goals of the business or not to get adjusted according to the needs. KPIsareextremelyvitalandsignificantforcheckingthefunctionsofthevarious manufacturing tasks in any manufacturing organization. In recent times, various types of major developments are taking place within a specific manufacturing system (Colledaniet al. 2014). Each and every kind of existing trend within these manufacturing systems can be properly assessed to check the total efficiency or effectiveness. The higher authorities have the core responsibility to play few of the important or vital roles within a manufacturing industry so that it could lead the business to high concentration as well as consolidation. Various kinds of the competitive pressures in a manufacturing organization are needed to be properly addressed so that this particular company does not confront any problem about operational efficiency (Diaz-Elsayedet al. 2013). Moreover, the most basic style of this specific development type is completely based onrestructureoftechnologiesandsystems.Relevantsuggestionstoeradicatesuch competitiveproblemscouldeventuallyemergewithintherecentdevelopmentform. Therefore, this organization could eventually detect the errors and faults or could even take significant measures to properly obtain a good position in the existing market place (Haapala et al. 2013). Certain innovations and inventions are present here as the particular company can promptly eliminate every competitive issue within the business. ii)ApproachesforEstablishingPerformanceMeasuresattheShopFloorLevel ProductionandExplanationofMeasuresbeingimplementedinManufacturing Company for Achieving Corporate Objectives An accurate measurement and evaluation of the performances is extremely important and significant and is also termed as one of the major need in a manufacturing organization.
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4 MANUFACTURING SYSTEMS The quantified technique or method of the performance measurement could be implemented easily in the company so that the organizational management gets a proper ideology regarding the performance level of their production and even quality of the products. The main indirect methods of this measurement are applied after checking the performance only after a proper evaluation (O’Sullivanet al. 2013). The most relevant modelling approaches are also required within these systems and few approaches are used by management of production plant to effectively prioritize the quality of products. The first approach is simply heuristic, which is quite popular and effective for the production in shop floor level. This particular approach eventually defines a proper sequence of various optimal services and products that are based on remaining data in any one manufacturingmachine.Inthesimpleheuristicmodel,linearprogrammingmodelis developed and is efficiently implemented for solving all sorts of manufacturing issues (Renzi etal.2014).Theseapproachesofheuristicarealsoimplementedinthelargescale constraints’ satisfactionand even problemswith scheduling. The famousand popular manufacturing companies have applied and implemented the simplified heuristic approach within their organization and hence it is noted to be extremely helpful for the various scheduling operations based on exploitation of critical path network. Another vital and noteworthy approach, which is extremely efficient and popular for the manufacturing or manufacturing organizations is linear programming model (Mourtzis and Doukas 2014). This linear programming model is majorly depended on the systematic as well as synchronized production planning and proper scheduling of a multi product batching system for manufacturing. Few of these major scheduling issues are subsequently present in operationalconditionsof thatcompany.Thislinearprogrammingmodelisextremely important for avoiding delays in final product delivery (Pachet al. 2014). Various kinds of researches are also present in such activity scheduling based on the manufacturing systems
5 MANUFACTURING SYSTEMS and they also include few important model developments. The model majorly emphasizes on production, planning as well as inventory of every horizontal cost. A proper form of these above provided approaches is present, which is quite efficient for successful determination of all types of rising issues within the manufacturing systems. The significant strategy by which better competitive advantages are being obtained must be followedbythismanufacturingcompanyandalsomanagetheirbusinessprocesses (Brandimarte and Villa 2013). An efficient type of strategic planning could even be helpful for the manufacturing company to adopt several dynamical and methodical processes to make it extremely easy to eliminate the significant issues of the manufacturing system. iii)Explanation of Product Flow Analysis and Value Stream Mapping with proper Uses in Manufacturing Companies A product flow analysis or simply PFA is being explained as one of the major and important establishing methodology that is being used for properly transforming the complete functionallayoutstotherespectiveproductorientedorstructuredlayoutsinthe manufacturing organization (Keddiset al. 2013). The methodology of parts routing is used within this product flow analysis or simply PFA based on the searching of all types of natural clusters in the various work stations. This parts routing is also helpful for forming the major production cells within the manufacturing system. The product flow analysis also helps to complete the parts and thus forming the basic components in extremely lesser amount of time. It is also possible for making the flow of material within the respective products highly simplified as well as relevant in nature (Chang, Wu and Wu 2013). After a successful deployment of product flow analysis in the manufacturing company, the specified system to schedule is eventually present to majorly control the several periodical batches.
6 MANUFACTURING SYSTEMS A vital and significant objective of the product flow analysis is properly establishing the cycle of final delivery of products, associated fixed planning forms and even finalized production of the respective products (Li and Sun 2013). The entire production unit is working on the basis of product flow analysis and it is being deployed within various functional layouts and is quite helpful to improve the overall product quality for reduction of the total leading time. Furthermore, this product flow analysis also gives a major motivation among the company’s staffs for ensuring that they are working in a satisfactory environment. The impact of product flow analysis is extremely important for adding major value to this business processes and reduction of the process variability (Uzamet al. 2016). An effective and efficient operational management contributes few major impacts, made by the product flow analysis or PFA. The value stream mapping or simply VSM is stated as one of the major project management method for the lean management. This particular methodology is absolutely based on proper analysis of the present state and after the consideration of such current state analysis, the methodology of value stream mapping assists the designing of each and every future mechanism state (Faruqueet al. 2016). The proper designing over the basis of various event series could either start or end in respect to customer demands. The manufacturing organizations get profit from VSM since they keep customer satisfaction on first priority. Therefore, various issues are being reduced to a great level after undertaking the major help of all lean wastes and comparing them to the current state mapping. The VSM or value stream mapping even emphasizes on these specific areas, in which there is a significant need to add the extra services and here this need is also considered (Nouira, Frein and Hadj- Alouane 2014). It is being observed that in lean management, value stream mapping has always provided better results and by using this particular tool, the wastes are identified and process cycle time is reduced majorly.
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7 MANUFACTURING SYSTEMS The subsequent using of the value stream mapping method within this manufacturing organization is even helpful to introspect and improvise in a recent process state (Koren, Wang and Gu 2017). The most important inputs to the value stream mapping could also include each and every resource, which are present and are considered based on the leverage of various produced services and goods. The subsequent using of the product flow analysis within the manufacturing company could be majorly aided by a machine based packaging. This could also take place by proper formation of the larger sets of data that are needed to properly analyse (Efthymiouet al. 2014).Thiskindofspecifiedanalysiscouldbeeventuallyconductedfortheproper adaptation of few outcomes in some of the significant situations. Moreover, such analysis is also repeated within the other manufacturing companies without any skilled or trained person. iv)Description of Different Types of Plant Lay outs with Benefits relevant to Production Varieties, Production Volume and Economies of Scale The different types of plant lay outs that are completely relevant to the production varieties, economies of scale and production volume with relevant details like advantages are provided below: i)Fixed Position Lay out: The first and the foremost important type of the plant layout would be the fixed position lay out. An important or vital component is eventually located in any particular fixed position; hence this name is given (Gu, Jin and Ni 2015). The other significant equipment is then transferred to a specific location. The major and the important benefit of the fixed position lay out majorly includes reducing the material movements. Furthermore, capital investments are eventually reduced and few tasks are being performed with much efficiency as per the business needs and expectations.
8 MANUFACTURING SYSTEMS ii)Product or Line Lay out: The second vital and noteworthy plant lay out, which comprises of the ability to process the several equipment as well as machines for the purpose of arranging within a sequence is called the line and product lay out (Leet al. 2013). The line and product lay out even consists of few of the major and important advantages such as reducing the materials handling costs, advanced and better utilization of man power and machines and even reduction of total time of production. iii)Process or Functional Lay out: The third and another extremely important plant lay out, which is quite helpful and useful for few of the vital areas, where there could be less need of low production is called the process and functional lay out (Dima 2013). There are few important benefits or advantages of this particular plan lay out. It eventually reduces the major chances of duplicity of machines. Moreover, the investment while purchasing such equipment is even reduced to any specific extent. Within the process and functional lay out, a proper availability of the equipment uses is present (Mourtzis, Doukas and Bernidaki 2014). The complicated procedures are being easily and promptly solved and hence could be handled with higher efficiency. v)Critical Review and Comparison of Several Toolsflow analysis or simply PFAs and Techniques available for Process Improvement in the Scope of Lean Manufacturing Systems Themajoroperationsofabusinessineverymediumsizedorevensmaller manufacturing companies could eventually consist of one distinctive objective or goal after considering the lean methodology adaptation (Smart, Calinescu and Huatuco 2013). This effectively leads to the formation of an invaluable system. A subsequent path is being designed for the purpose of receiving the highest output amount based on the lowest wastage within the complete cycle of production. The impact of the lean methodology even maintains
9 MANUFACTURING SYSTEMS the efficiency or effectiveness of the various technologies and tools so that a proper and critical review is possible for these tools and technologies. The proper utilization of all these kinds of techniques and tools is important for improving the complete processing and then increasing the entire scope for the manufacturing lean systems (Rauch, Dallasega and Matt 2016). The major ideology behind such kind of methodology id required for eradicating the creationofwasteswithinanyparticularmanufacturingorganization.Fourdistinctive techniques and tools to improve the overall process within the system of lean manufacturing are provided below: a)Kanban: This is the first significant tool and technique that is required for improving the overall process of manufacturing system. It is known as the pull production system and comprises of the main purpose of method for eliminating wastes that are being produced by the inventory and over production (Bensmaine, Dahane and Benyoucef 2014). The specific technology is quite helpful for the company for making a proper utilization of this inventory and is required for providing the accurate and relevant information about manufacturing orders. b)Kaizen: This is the next vital and important approach, which is extremely helpful for the accurate creation of a continuous improvisation based on ideologies that the small as well as ongoing positive changes can reap some of the basic improvements (Giret, Garcia and Botti 2016). It is absolutely on the basis of commitment as well as cooperation to achieve few transformations in products within the subsequent manufacturing system. c)Total Quality Management: The third tool or technique that could be quite effective and efficient for the lean methodology is total quality management. This technique consists of the organizational made efforts to properly install and then make a proper environment, where the staffs are continuously improving the capability to provide every on
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10 MANUFACTURING SYSTEMS demand product or service (Novas and Henning 2014). This product and service that the clients are searching are maintained properly with this particular technique. d)Value Stream Mapping: VSM or value stream mapping is the fourth effective and important technique of lean methodology. This particular methodology is absolutely based on proper analysis of the present state and after the consideration of such current state analysis, the methodology of value stream mapping assists the designing of each and every future mechanism state (Chen and Li 2013). The proper designing over the basis of various event series could either start or end in respect to customer demands. Hence, the organizations get several advantages from this technique. vi)Definition of Acronyms a)CNC: The full form is Computer Numerical Control. This is a type of machine that majorly involves the manufacturing procedures. b)CAD: The full form is Computer Aided Design. It is a major process, in which drafting as well as designing functioning are well performed. c)BOM: The full form is Bill of Materials (Tibaut, Rebolj and Perc 2016). This is the methodology for comprehensive inventories based on some raw materials, components, parts, assemblies or sub assemblies. d)CAM: The full form is Computer Aided Manufacturing. This is the technology that uses machinery impacts or software utilization for facilitating manufacturing process. e)CAPP: The full form is Computer Aided Process Planning. It is a specific use of computer based technology for planning. f)AGV: The full form is Automated Guided Vehicle, which is a portable robotic system.
11 MANUFACTURING SYSTEMS g)MPS: The full form is Master Production Schedule (Shapiro and Srinivasan 2014). This is the specific design based plan based on single commodity that should be made in a fixed time. h)MRP: The full form is Manufacturing Resource Planning, which manages process of production and delivery of products. i)FMS: The full form is Flexible Manufacturing Systems. It shows flexibility within approaches of manufacturing system. j)CIM: The full form is Computer Integrated Manufacturing. CIM is the proper usage of system automation for product manufacturing. k)ERP: The full form is Enterprise Resource Planning that is designed for integrating several business processes in one process.
12 MANUFACTURING SYSTEMS Part B Case Study: Performance Assessment of Manufacturing Plant A perfect optimization for various kinds of performances is quite vital or noteworthy for each and every manufacturing company (Mohammadi and Forghani 2014). The procedure of optimization is absolutely possible based on the specified assessment form on the overall performance, which is eventually performed within the organization. This is majorly needed by the manufacturing system for fulfilling the demands of the customers and even executing thevariousorganizationalprocedureseffectively.Furthermore,businessperformance optimization can also pave the method of assessing the entire business and could even bring out the efficiency within important processes of this organization. This essay will be outlining abriefdiscussionforthecompleteperformanceassessmentwithinamanufacturing organization as per the case studies provided (Giret, Garcia and Botti 2016). Moreover, this essay would be discussion on the details for site and business data, performance indices, benefits or opportunities and also an alternative for improving the business based on the key performance indicators or KPIs. i)Site or Business Information: Based on three effective provided case studies, this is being noted that primary product would include the organic chemistry (Bensmaine, Dahane and Benyoucef 2014). Some of the major products, which are eventually produced within manufacturing companies are similar to the final product, moreover few of these products are also present within the subsequent processing phases. The total number of products is fifteen and there lies no product variant. The manufacturing business takes into consideration about the demands of customer over first priority and all of the customers’ demands are on the basis of a complete improvisation and improvement of pharmaceutical quality. This improvement has gone up to 40% in this organization of manufacturing (Rauch, Dallasega and Matt 2016).
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13 MANUFACTURING SYSTEMS The major clients of the company are Roche, Abott, BASF and QA Glaxo Merck. The next subsequent 40% clients belong to the Novartis, agrochemical price as well as BSF. The final 20% clients are the remaining customers. The significant performance of the manufacturing organization is compared with the clients of the organization of Sterling Organics Lonza within the countries of India as well as China. ii)Opportunities and Benefits: As per a proper gathered relevant data from these three significant case studies, discussion could be drawn that the overall output of the manufacturing plant is eventually increased based on the evaluated potential in organizational turnover annually (Smart, Calinescu and Huatuco 2013). The organizational turnover had reached from 20% to 30% annually and then evaluated advantages had ranged from 25% to 55% based on the total outcome of the manufacturing organization. Thus, the capacity of plant should be improvised by proper increase in the first pass efficiencies as well as product consistency should be improvised from 3 to 4 percent. Furthermore, the total uptime is even improved to 5% and relevant changes are needed for an average time after reducing it to 5%. As a result, performance expenses are improved for delivery of the final product (Mourtzis, Doukas and Bernidaki 2014). Thus, proper assessment value of the annual improvement based on manufacturing process could be improved to 25%. The total advantages was more than 168.75 million GBP. iii)Performance Assessment: When the formal assessing of manufacturing company, it could be concluded that entire manufacturing procedure comprises of a major ability to add the significant value for the company staffs. This is being depicted within the significant form of about 77640 GBP (Gu, Jin and Ni 2015). The services to various customers are then incremented by 70%. Employee absenteeism is being measured for checking business functionality. The product rate is increased by 95% and product quality is increased by 97%. Routine change time can be measured as 1000.
14 MANUFACTURING SYSTEMS iv)Performance Index: It is calculated for this system and this company has the capability for functioning in a manner for achieving objectives. Performance assessment is considered for finding this index (Koren, Wang and Gu 2017). Furthermore, this type of performance measurement is applied to the operational expenses within the company and the major methodology types and techniques for planning are developed based on the scheduling activity in that organization. The opportunities and benefits are also taken into considered for meeting the targets. v)Probable Improvement Alternatives on the basis of Key Performance Indicator or KPI:An effective and efficient key performance indicator majorly focuses on the business functionalities and procedures, which the senior management is overseeing as the most significant factors to measure the overall progress towards meeting of strategic objectives and performance targets (Nouira, Frein and Hadj-Alouane 2014). Every company has their own business priority and hence all companies have different key performance indicators, which are considered as the major requirement in a business. KPI is also important for successfully evaluatingtheseveralbusinessstrategiessothatitbecomeseasierforthebusiness management to complete their actions or operations properly. When regular checking would be done, it would surely reduce the issues majorly without any complexity. This would maintain the key performance indicator or KPI.
15 MANUFACTURING SYSTEMS Part C Question 3: Seven Tools of Quality Control used by Workers for Controlling Process and Achieving Zero Defects Seven significant tools of quality control that are being utilized by the workers to control process and also achieve zero defect are provided below: i)Cause and Effect Diagram: This type of diagram is also stated as the fish bone diagram and it is quite effective for depicting the major causes and effects of the issue. ii)Flowchart: Flowcharts are used by workers for determining the bottlenecks and breakdowns within work procedure (Faruqueet al. 2016). iii)Scatter Diagram: This type of diagram comprises of the capability to depict connections between variables after depicting the major causes and effects. iv)Control Chart: Control charts comprise of capability to plot data points within specified time frame and could provide data movement picture. v)Histogram: It is a specific bar chart picture, which is designed to gain a proper observation on the data. vi)Pareto Chart: This type of chart is the basic form of the bar graph and it could easily depict the largest frequency number. vii)Check Sheet: The final effective and efficient tool for quality control that is used by workers is check sheet (Chang, Wu and Wu 2013). It is one of the most effective quality assurance tool that collects accurate data and can even track the total occurrence of the specific incident effectively. Question 7: Importance of Flexibility in Manufacturing System
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16 MANUFACTURING SYSTEMS Flexibility is quite vital and significant for the manufacturing systems to improve any type of process. These flexibility approaches eventually consist of the core capability to produce some of the important benefits for the company. The total impact of this flexibility subsequently enables the companies to get adapted to the several kinds of changes as per business need changes (Li and Sun 2013). Such flexibility within the production procedure could even offer two specific approach types and is quite beneficial after ensuring that each and every business operation is successful in the manufacturing systems. This machine flexibility could even be states as a methodology, in which the system has capability to change the core purposes for creation of complete new product. Thus, these methods can change business processes. Routing flexibility approach is quite famous for every kind of business processes and it helps the systems to get adapted to several changing modes based on capability, capacity and volume. The problem solving is also possible with this type of approach and thus most of the popular organizations select this approach (Kalpakjian, Vijai Sekar and Schmid 2014). Moreover, customer satisfaction is also enhanced and the manufacturing company does not faceanycomplexityorissueregardingcompetitivebenefitsandasmoothworking environment is present for the organizational members.
17 MANUFACTURING SYSTEMS References Bensmaine, A., Dahane, M. and Benyoucef, L., 2014. A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems.International Journal of Production Research,52(12), pp.3583-3594. Brandimarte, P. and Villa, A. eds., 2013.Modeling manufacturing systems: from aggregate planning to real-time control. Springer Science & Business Media. Chang, C.C., Wu, T.H. and Wu, C.W., 2013. An efficient approach to determine cell formation,celllayoutandintracellularmachinesequenceincellularmanufacturing systems.Computers & Industrial Engineering,66(2), pp.438-450. Chen, Y. and Li, Z., 2013.Optimal supervisory control of automated manufacturing systems. CRC Press. Chryssolouris, G., 2013.Manufacturing systems: theory and practice. Springer Science & Business Media. Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R. and Váncza, J., 2014. Design and management of manufacturing systems for production quality.CIRP Annals- Manufacturing Technology,63(2), pp.773-796. Diaz-Elsayed, N., Jondral, A., Greinacher, S., Dornfeld, D. and Lanza, G., 2013. Assessment of lean and green strategies by simulation of manufacturing systems in discrete production environments.CIRP Annals,62(1), pp.475-478. Dima, I.C. ed., 2013.Industrial production management in flexible manufacturing systems. IGI Global.
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19 MANUFACTURING SYSTEMS Le, C.V., Pang, C.K., Gan, O.P., Chee, X.M., Zhang, D.H., Luo, M., Chan, H.L. and Lewis, F.L., 2013. Classification of energy consumption patterns for energy audit and machine scheduling in industrial manufacturing systems.Transactions of the Institute of Measurement and Control,35(5), pp.583-592. Li, L. and Sun, Z., 2013. Dynamic energy control for energy efficiency improvement of sustainable manufacturing systems using Markov decision process.IEEE Transactions on Systems, Man, and Cybernetics: Systems,43(5), pp.1195-1205. Mohammadi, M. and Forghani, K., 2014. A novel approach for considering layout problem in cellularmanufacturing systems with alternativeprocessing routings and subcontracting approach.Applied Mathematical Modelling,38(14), pp.3624-3640. Mourtzis,D.andDoukas,M.,2014.Theevolutionofmanufacturingsystems:From craftsmanshiptotheeraofcustomisation.InHandbookofResearchonDesignand Management of Lean Production Systems(pp. 1-29). IGI Global. Mourtzis, D., Doukas, M. and Bernidaki, D., 2014. Simulation in manufacturing: Review and challenges.Procedia CIRP,25, pp.213-229. Nouira, I., Frein, Y. and Hadj-Alouane, A.B., 2014. Optimization of manufacturing systems underenvironmentalconsiderationsforagreenness-dependentdemand.International Journal of Production Economics,150, pp.188-198. Novas, J.M. and Henning, G.P., 2014. Integrated scheduling of resource-constrained flexible manufacturingsystemsusingconstraintprogramming.ExpertSystemswith Applications,41(5), pp.2286-2299.
20 MANUFACTURING SYSTEMS O’Sullivan, E., Andreoni, A., Lopez-Gomez, C. and Gregory, M., 2013. What is new in the new industrial policy? A manufacturing systems perspective.Oxford Review of Economic Policy,29(2), pp.432-462. Pach, C., Berger, T., Sallez, Y., Bonte, T., Adam, E. and Trentesaux, D., 2014. Reactive and energy-aware scheduling of flexible manufacturing systems using potential fields.Computers in Industry,65(3), pp.434-448. Rauch, E., Dallasega, P. and Matt, D.T., 2016. Sustainable production in emerging markets through Distributed Manufacturing Systems (DMS).Journal of Cleaner Production,135, pp.127-138. Renzi, C., Leali, F., Cavazzuti, M. and Andrisano, A.O., 2014. A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems.The International Journal of Advanced Manufacturing Technology,72(1-4), pp.403- 418. Salonitis, K. and Ball, P.D., 2013. Energy efficient manufacturing from machine tools to manufacturing systems. Shapiro, V. and Srinivasan, V., 2014. Report from a 2013 ASME panel on geometric interoperability for advanced manufacturing.Computer-Aided Design,47, pp.A1-A2. Smart, J., Calinescu, A. and Huatuco, L.H., 2013. Extending the information-theoretic measures of the dynamic complexity of manufacturing systems.International Journal of Production Research,51(2), pp.362-379. Tibaut, A., Rebolj, D. and Perc, M.N., 2016. Interoperability requirements for automated manufacturing systems in construction.Journal of intelligent manufacturing,27(1), pp.251- 262.
21 MANUFACTURING SYSTEMS Uzam, M., Li, Z., Gelen, G. and Zakariyya, R.S., 2016. A divide-and-conquer-method for the synthesis of liveness enforcing supervisors for flexible manufacturing systems.Journal of Intelligent Manufacturing,27(5), pp.1111-1129.