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Production planning and control

The big players in the chemical industry have developed very powerful company-specific ERP systems (enterprise resource planning earlier this type of system was denoted as production planning and control) since the 1960s. The growing costs to maintain and adapt these systems have motivated the move to integrated standard business software systems in the last decade. The majority of the big chemical companies use SAP R/3 resp. SAP ERP from SAP AG other well-known solution vendors include Marcam (now part of Infor) and JD Edwards (now part of PeopleSoft resp. Oracle). [Pg.272]

Specify and design programs and query routines and dialogues that are capable of accessing this database as well as communicating with the real-time production planning and control system of the FMS/FAS. [Pg.168]

N. Ferguson and J. Browne, Issues in End-of-Life Product Recovery and Reverse Logistics, Production Planning and Control, 12(5), 534-547 (2001). [Pg.173]

Just-in-Time Another method that has received much attention for production planning and control is just-in-time theory. In contrast to MRPII, which is push oriented, the JIT philosophy of management is puU oriented—that is, it calls for something to be manufactured only when there is a firm order for it. JIT is a productivity enhancer based on the simple proposition that all waste in the manufacturing process must be eliminated. [Pg.492]

Arifin, R., and Egbelu, P. J. (2000), Determination of Vehicle Requirements In Automated Guided Vehicle Systems A Statistical Approach, Production Planning and Control, Vol. 11, No. 3, pp. 258-270. [Pg.1525]

Sarker, B. R., Mann, L., and Dossantos, J. R. G. L. (1994), Evaluation of a Class-Based Storage Scheduling Technique Applied to Dual-Shuttle Automated Storage and Retrieval Systems, Production Planning and Control, Vol. 5, No. 5, pp. 442 49. [Pg.1526]

Starkweather, T, Whitley, D., and Cookson, B. (1993), A Genetic Algorithm for scheduling with Resource Consumption, in Proceedings of the Joint GermanlUS Conference on Operations Research in Production Planning and Control, pp. 567-583. [Pg.1789]

Smith, S. F. (1993), Knowledge-Based Production Management Approaches, Results and Prospects, Production Planning and Control Vol, 3, pp. 350-380. [Pg.2053]

Ten days later, Bradley Bartlett provides the necessary backup information to justify the comparison in Table 6. He explains that TAP has four distinct overhead functions, and thus it is necessary to examine each function individually. The four overhead departments are purchasing, production planning and control, quality control and inspection, and inventory control. The respective analyses are... [Pg.2322]

TABLE 8 Activities and Costs for Production Planning and Control for the Year Ended December 31, 1999... [Pg.2323]

The other overhead departments for TAP are production planning and control ( 3 million), inventory control ( 10 million), and quality control and inspection ( 7 million). Similar activity tmd cost analyses for the other overhead departments (see Tables 8-10) provide improved overhead allocations that can be used to better understand the relative profitabihty of each of the TAP auto models. The results are included in a revised profitability schedule in Table 11. It shows how a conventional costing system can lead to incorrect decisions by management. [Pg.2323]

PPG production planning and control PRT pressure reduction time... [Pg.609]

Results also show that simnlation exercises may have an impact on real-life projects. For example, dividing the stndent groups into teams of different subcontractors or trades working together to constract a building helps the students better understand the role of teamwork, collaboration on constmction projects, and the impact of variability in production planning and control. [Pg.155]

Enterprise Resource Planning for Production Planning and Controlling... [Pg.472]

For producing companies, the planning of resources and production processes, as covered by the extended concept of Production Planning and Control, are the core functions of Enterprise Resource Planning (ERP). According to Schuh (2006), Production Planning and Control incorporates the following tasks (Fig. 2). [Pg.473]

In-Plant Production Planning and Control The in-plant Production Planning and Control details the production plan based on the limitations of the production requirements planning and the resulting planning flexibility and monitors its realization. The planning flexibility results from the difference of the... [Pg.474]

Schuh G (2006) Produktionsplanung und -steuerung [Production planning and control]. Springer, Berlin (in German)... [Pg.478]

As the exponentially increased number of process varieties significantly challenges production planning and control of conventional manufacturing process (Tian et al. 2008 Terkaj et al. 2009a), it is critical to have flexible... [Pg.839]

Operations research Optimization Production planning and control... [Pg.929]

Implementation of the Pull System There are two basic principles of production planning and control, the push and the pull principle. The push principle targets the maximum efficiency of given capacities. Hence, it is a typical representative of the ideology of mass production. One of its main characteristics is a centrally planned production schedule. While typical sellers markets of the last century could be served satisfy-ingly with this principle, today s buyers markets require more flexibility of production systems. Since real customer demands are not considered accurately by the push principle, big stocks and delivery problems - and with it waste - occur often. [Pg.934]

The pure act or manufacturing process (or the connected series of acts or processes) of actually physically making a product from its material constituents, as distinct from designing the product, planning and controlling its production, assuring its quality (CIRP Dictionary of Production Engineering 2004). [Pg.995]

Eiben, A.E. and Smith, J.E., 2003. Introduction to Evolutionary Computing, Springer, Berlin. Elizabeth, S. and Roger, M.K., 1994. Knowledge-based reactive scheduling. Production Planning and Control, 5(2), 124-145. [Pg.167]

Erel, E. and Sarin, S.C., 1998. A survey of the assembly line balancing procedures. Production Planning and Control, 9,414-434. [Pg.167]

Kim, Y.K., Kim, Y. and Kim, J.Y, 2000. Two-sided assembly line balancing a genetic algorithm approach. Production Planning and Control, 11,44-53. [Pg.168]


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