11 research outputs found
A computational analysis of lower bounds for big bucket production planning problems
In this paper, we analyze a variety of approaches to obtain lower bounds for multi-level production planning problems with big bucket capacities, i.e., problems in which multiple items compete for the same resources. We give an extensive survey of both known and new methods, and also establish relationships between some of these methods that, to our knowledge, have not been presented before. As will be highlighted, understanding the substructures of difficult problems provide crucial insights on why these problems are hard to solve, and this is addressed by a thorough analysis in the paper. We conclude with computational results on a variety of widely used test sets, and a discussion of future research
A conceptual model for MRP IV
In current supply chains where there is a considerable offshoring of raw materials and parts suppliers, production planning can no longer be considered a separate and independent process from transportation planning. However, current systems only focus on production decisions, regardless of the transport considerations. This means that proposed production plans could be suboptimal, and even infeasible. In these cases, manual replanning is a common practice in companies until production plans are made feasible as far as available transport capacity is concerned. For the purpose of avoiding the suboptimization of these plans, we present a conceptual model, the MRP IV, which serves as a reference to develop a new production technology and integrates material planning, production resource capacities and supply chain transport decisions, and acts as a baseline to propose resolution models and algorithms required to develop MRP IV as a decision-making system. © 2012 Springer-Verlag.Díaz-Madroñero Boluda, FM.; Mula, J.; Peidro Payá, D. (2012). A conceptual model for MRP IV. En Decision Support Systems – Collaborative Models and Approaches in Real Environments. Springer Verlag. 14-25. doi:10.1007/978-3-642-32191-7_2S1425Orlicky, J.: Material Requirements Planning. McGraw-Hill, New York (1975)White, O.W.: MRP II—Unlocking America’s Productivity Potential. CBI Publishing, Boston (1981)Schollaert, F.: Money resource planning, MRP-III: the ultimate marriage between business logistics and financial management information systems. 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(eds.) Production Engineering and Management under Fuzziness. STUDFUZZ, vol. 252, pp. 39–57. Springer, Heidelberg (2010)Li, T., Lin, P., Sun, G.J., Liu, H.H.: Application of Fuzzy Programming with Recourse in Material Requirement Planning Problem. In: Proceedings of International Conference on Measuring Technology and Mechatronics Automation, pp. 546–549. IEEE (2009)Hnaien, F., Dolgui, A., Ould Louly, M.A.: Planned lead time optimization in material requirement planning environment for multilevel production systems. Journal of Systems Science and Systems Engineering 17, 132–155 (2008)Louly, M.A., Dolgui, A., Hnaien, F.: Optimal supply planning in MRP environments for assembly systems with random component procurement times. International Journal of Production Research 46, 5441–5467 (2008)Louly, M.A., Dolgui, A.: Optimal time phasing and periodicity for MRP with POQ policy. 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Challenges and future perspectives for the life cycle of manufacturing networks in the mass customisation era
Manufacturers and service providers are called to design, plan, and operate globalised manufacturing networks, addressing to challenges of increasing complexity in all aspects of product and production life cycle. These factors, caused primarily by the increasing demand for product variety and shortened life cycles, generate a number of issues related to the life cycle of manufacturing systems and networks. Focusing on the aspects that affect manufacturing network performance, this work reviews the exiting literature around the design, planning, and control of manufacturing networks in the era of mass customisation and personalisation. The considered life cycle aspects include supplier selection, initial manufacturing network design, supply chain coordination, complexity, logistics management, inventory and capacity planning and management, lot sizing, enterprise resource planning, customer relationship management, and supply chain control. Based on this review and in correlation with the view of the manufacturing networks and facilities of the future, directions for the development of methods and tools to satisfy product-service customisation and personalisation are promoted