Production Planning
Inventory management and production planning and scheduling
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Number of segments Number of market segments 2 3 point 3 of Figure 3.2 (hence I is the average(hence Iv is the average 2 4 line just below 3.1 1988 1888 2 4 footnote 12 model. Moreover model.(See Section 2.4 of Chapter 2.) Moreover 6 line 10 of 3.11. 4 exp
Hierarchical integration of production planning and scheduling
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This paper describes the development of a hierarchical planning and scheduling system for a multiple plant, multiple product, seasonal demand situation. In this hierarchical structure, optimal decisions at an aggregate level ( planning ) provide constraints for detailed decision Lecture Notes in Economics and Mathematical Systems 355 Managing Editors: M. Beckmann and W. Krelle Editorial Board H.Albach M. Beckmann (Managing Editor) P. Dhrymes G. Fandei G. Feichtinger W. Hildenbrand W. Krelle (Managing Editor) H. P. Künzi K. Ritter U. Schittko
The fundamentals of production planning and control
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Many years ago I began my first industry job in planning and control armed only with enthusiasm, energy, a strong desire to be successful, and absolutely no real knowledge of the area. My formal education had virtually nothing to do with industry or business. I can only
Global manufacturing practices: A worldwide survey of practices in production planning and control
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Master production scheduling: principles and practice Global Manufacturing Practices: A Worldwide Survey of Practices in Production Planning and Control, Volume 3. Front Cover. D. Clay Whybark. Elsevier Science A revie of: Global Manufacturing Practices. A Worldwide
A study of FMS part type selection approaches for short-term production planning
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This research compares seven approaches from the literature to the selection of part types for simultaneous production over the next time horizon. A flexible approach to the selection of part types and the simultaneous determination of their mix ratios so as to balance
Uncapacitated production planning with multiple product types, returned product remanufacturing, and demand substitution
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This paper investigates an uncapacitated multi-product production planning problem with returned product remanufacturing and demand substitution, where no backlog and no disposal are allowed. Both the production of new products and the remanufacturing of
A hierarchical decision support system for production planning (with case study)
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Abstract We propose a Hierarchical Decision Support System (HDSS) for production planning which enables production planners to utilize complex and structured planning algorithms interactively with no difficulty. The suggested system represents a higher level We consider aggregation of products with similar characteristics in a two-level hierarchical production planning model. A robust aggregate plan at the upper level is such that, at the lower level, a disaggregation policy exists even when detailed demands vary within Evolutionary algorithms are stochastic search methods that mimic the principles of natural biological evolution to produce better and better approximations to a solution and have been used widely for optimization problems. A general problem of continuous-time aggregate This paper addresses an integrated job-shop production planning and scheduling problem with setup time and batches. It not only considers the setup cost, work-in-process inventory, product demand, and the load of equipment, but also the detailed scheduling constraints
Production planning and scheduling
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Assuming that the master plan has been generated, we can now derive detailed plans for the different plants and production units. In the following we will describe the underlying decision situation (Sect. 10.1) and outline how to proceed from a model to a solution (Sect This article studies a single item dynamic lot sizing problem with manufacturing and remanufacturing provisions. The demands and returns are considered as both stochastic and deterministic. There are two inventories recoverable and serviceable inventory. We This work presents a novel interactive multiple fuzzy objective linear programming (MFOLP) model for solving the aggregate production planning (APP) decision problem in a fuzzy environment. The proposed model minimizes total production costs, carrying and
Simple Models in Stochastic Production Planning .
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A simple stochastic productioninventory model with quadratic cost functions is analyzed in detail. The inventory process is assumed to be driven by a white noise process resulting into an Ito stochastic differential equation. Both finite and infinite horizon versions of the problem Based on uncertainty theory, multiproduct aggregate production planning model is presented, where the market demand, production cost, subcontracting cost, etc., are all characterized as uncertain variables. The objective is to maximize the belief degree of
Fuzzy production planning and its application to decision making
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This paper presents new methods for solving a production planning problem. First the modified s-curve membership function as a methodology is constructed. Then fuzzy production planning problems with vagueness parameters alpha and fuzzy objective
Semiconductor production planning
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Page 1. Production Planning 04/0710/14 Semiconductor Production Planning Rob Leachman University of California at Berkeley October Page 2. Production Planning 04/0710/14 Agenda Industry background Elements of production planning Basic planning techniques IMPReSS
Hierarchical production planning
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In general terms, production be defined as the process of converting raw materials into finished products. Manufacturing systems are typically composed of large number of components which have to be managed effectively in order to deliver the final products in In this paper, we consider a minimax production planning model of a flexible manufacturing system with machines that are subject to random breakdown and repair. The objective is to choose the rate of production that minimizes the related minimax cost of production and