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Aggregate production planning with multiple fuzzy goals

The International Journal of Advanced Manufacturing Technology, 2004
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 backordering costs, and costs of changes in labor levels, while considering inventory levels ...
Wang, R. C., T. F. Liang
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Uncapacitated production planning with multiple product types, returned product remanufacturing, and demand substitution

OR Spectrum, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Yongjian, Chen, Jian, Cai, Xiaoqiang
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Application of binary programming theory to product color planning with multiple constraints

Color Research & Application, 2021
AbstractCompanies generally set a standard color for product color design to enhance the corporate brand image. When a given color and the planned combination of given areas contain multiple constraints, the exhaustive process that has traditionally been used to obtain the optimal color scheme is often time consuming. Therefore, this study proposes the
Yong Wang   +3 more
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Production planning for a two-stage production system with multiple parallel machines and variable production rates

International Journal of Production Economics, 2018
Abstract This paper studies the case where a manufacturer produces a single type of product on multiple parallel machines. The manufacturer has a machine pool available whose combined production capacity is larger than what is required for producing demand.
Taebok Kim, Christoph H. Glock
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Production planning with multiple objectives in decentralized organizations

International Journal of Production Economics, 1998
The paper presents a procedure for supporting the process of production planning in decentralized organizations. A situation is considered similar to that of the Dantzig/Wolfe algorithm: several divisions use scarce production resources that are controlled by the top-management. In contrast to the Dantzig/Wolfe situation, however, all decision makers -
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Production planning with multiple production lines: Forward algorithm and insights on process design for volume flexibility

Naval Research Logistics (NRL), 2018
AbstractThis paper considers the production planning problem of a firm that produces a single product using a process that has multiple production lines (or machines) in parallel, each with a finite production capacity. Specifically, the firm has m parallel production lines, each with capacity of P units per period.
Suresh Chand   +2 more
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Aggregate production planning with multiple objectives in a fuzzy environment

European Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Reay-Chen, Fang, Hsiao-Hua
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Production planning models for a central factory with multiple satellite factories

International Journal of Production Research, 1994
The production planning problem of minimizing total cost, which consists of transportation cost, processing cost, raw material holding cost, and finished product inventory holding cost in a network of factories involving a central factory and multiple satellite factories is investigated in this paper. Based on two different raw material purchase plans,
CHOU-FANG CHEN   +2 more
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Capacitated replenishment and disposal planning for multiple products with resalable returns

Annals of Operations Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karakayali, I.   +3 more
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Overlapping production scheduling planning with multiple objectives—An ant colony approach

International Journal of Production Economics, 2008
Abstract This study presents a novel simple and effective search model for solving the problem of overlapping production schedule planning with multiple objectives using ant colony optimization (ACO). The problem is solved using a network structure and recursive computing of ACO.
Rong-Hwa Huang, Chang-Lin Yang
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