The penultimate section discusses the recent work on the subject and the last section contains conclusions and a direction for further research.
📌 3 Key Takeaways
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Objective & Hypothesis:The purpose of this paper is to summarise the more important techniques used to analyse the multi-echelon inventory control problem.
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Key Findings & Data:An introductory section defines the term "multiechelon" and establishes the kinds of problems involving multi-echelon considerations.
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Conclusion & Impact:The penultimate section discusses the recent work on the subject and the last section contains conclusions and a direction for further research.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:multi-echelon inventory models
Özet
The purpose of this paper is to summarise the more important techniques used to analyse the multi-echelon inventory control problem. An introductory section defines the term "multiechelon" and establishes the kinds of problems involving multi-echelon considerations. Subsequent two sections provide review of work in multi-echelon inventory theory with respect to selections from the literature. Deterministic-Stochastic dichotomy, is used as a distinguishing feature to categorise models. The penultimate section discusses the recent work on the subject and the last section contains conclusions and a direction for further research.
Tarım, A. (1993). A SURVEY OF MULTI-ECHELON INVENTORY. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 11, 115–150. https://ajindex.com/articles/670657
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Zangwill, Wal., "A Deterministic Multi-Period Production Scheduling Model with Backlogging. Management Science, Vole 13, No. l, 1966, ppd 1.05-119. (6) Zangwill, Wd., "A Deterministic Multifacility •Production and Inventory Model". Operations
Zangwill, W.I., "A Backlogging Model and a Multi-Echelon Model of Dynamic Economic Lot Size Production System-A Network Approach", Management Science, Vol. 15, Noa9, 1969, pp. 506-527.
Veinott. A.F., Jr., 'Extreme Points of Leontief Substitution Systems". Linear Algebra and Its.Applications, Vol. I, 1968, pp. 181-194.
Veinott. A.F., dr. "Minimum Concave-Cost Solution of Leontief Substitution Models of MultiFacility Inventory Svstems", Operations Research, Vol. 17, 1969, pp.262-291.
Veinott., A.F., Jr. "Minimum Concave-Cost Solution of Leontief Substitution Models of Multi-Facility Inventory Svstems", Operations Research. vol. 17, 1969, pp.262-291.
Love. S-.F., "Dynamic Deterministic Production and Inventory Models with Piecewise Concave Costs", Stanford: University, Department of Operations Research, Tecnical Report No.3, Stañford, Calif, 1968,
Kalymon, B.A., "A Decomposition Algorithm for Arborescence Inventory Systems", University of California, Western Management Science Institute, Working Paper No. 167, Los Angeles, Calif., 1970.
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Afentakis, P., B. Gavish and U. Karmarkar, "Computationally Efficient Optimal Solutions to the LotSizing Problem in Multistage Assembly Systems", Management Science, Vol.30, No.2, 1984, pp.222-239.
Petrovic, R., A. Senborn, and M. Vujosevic, Hierarchical Spare Parts Invent01Y Systems, Studies in Production and Engineering Economies, No. 5, Elsevier Science Publishers B.V.: Amsterdam, 1986.
Evans, G.W., Il, "A Transportation and Production Model", Naval Research Logistics Quarterly Vol.5, 1958, pp. 137-154,
Zangwill, Wal., "A Deterministic Multi-Period Production Scheduling Model with Backlogging. Management Science, Vole 13, No. l, 1966, ppd 1.05-119. (6) Zangwill, Wd., "A Deterministic Multifacility •Production and Inventory Model". Operations
Veinott. A.F., Jr., 'Extreme Points of Leontief Substitution Systems". Linear Algebra and Its.Applications, Vol. I, 1968, pp. 181-194.
Veinott. A.F., dr. "Minimum Concave-Cost Solution of Leontief Substitution Models of MultiFacility Inventory Svstems", Operations Research, Vol. 17, 1969, pp.262-291.
Love. S-.F., "Dynamic Deterministic Production and Inventory Models with Piecewise Concave Costs", Stanford: University, Department of Operations Research, Tecnical Report No.3, Stañford, Calif, 1968,
Afentakis, P., B. Gavish and U. Karmarkar, "Computationally Efficient Optimal Solutions to the LotSizing Problem in Multistage Assembly Systems", Management Science, Vol.30, No.2, 1984, pp.222-239.