 On flexible product-mix decision problems under randomness and fuzzinessTakashi Hasuike and Hiroaki Ishii Omega, 2009, vol. 37, issue 4, 770-787 Abstract: This paper considers several models of product-mix decision problems and production planning problems under uncertain conditions, and shows that these are extensional and versatile models for resolving previous product-mix problems. These proposed models include randomness derived from statistical analysis based on historical data, ambiguity of decision maker's intuition and the quality of received information, and flexibility in accomplishing the original plan. Furthermore, given that the upper limit values of some constraints have flexibility, and given a decision maker's level of satisfaction, we propose a flexible product mix of problems using the theory of constraints (TOC), and develop an efficient solution method. We then provide a numerical example that compares our models with some previous basic models. Efficiency of flexibility is obtained when our proposed models are applied to several conditions, such as measurable changes from the expected value of future returns. Keywords: Flexible; product-mix; decision; problem; Stochastic; and; fuzzy; programming; Theory; of; constraints; Level; of; satisfaction; of; decision; maker (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:37:y:2009:i:4:p:770-787 Ordering information: This journal article can be ordered from Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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