Corporate optimal production planning with varying environmental costs: a grey compromise programming approach.

DOI10.1016/S0377-2217(02)00820-2zbMath1045.90025MaRDI QIDQ1428048

Ni-Bin Chang, Chia-Chin Wu

Publication date: 14 March 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

Environmental managementMultiple objective programmingGrey systems theoryOptimal production planningUncertainty analysis

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Production models (90B30)

Related Items (10)

Application of a hybrid intelligent decision support model in logistics outsourcing ⋮ Unnamed Item ⋮ Bivariate interval semi-infinite programming with an application to environmental decision-making analysis ⋮ Grey enterprise input-output analysis ⋮ ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty ⋮ Sustainable supply chain management: a modeling perspective ⋮ The foundation of the grey matrix and the grey input-output analysis ⋮ Sustainable production technologies which take into account environmental constraints ⋮ Quantitative models for sustainable supply chain management: developments and directions ⋮ Some results about grey mathematics

Cites Work

• Unnamed Item
• Corporate environmental and resource management: In search of a new managerial paradigm
• Linear multiobjective programming
• Environmental integrated production and recycling management
• Grey integer programming: an application to waste management planning under uncertainty
• Grey input-output analysis and its application for environmental cost allocation
• Production Switching Heuristics for the Aggregate Planning Problem
• Stability analysis of grey compromise programming and its application to watershed land-use planning
• Grey linear programming, its solving approach, and its application
• Production Scheduling by the Transportation Method of Linear Programming

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