Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Noppasorn Sutthibutr"'
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 4, Pp 100377- (2024)
In an increasingly complex and uncertain business environment, decision makers require robust strategies for supply chain aggregate production planning that account for the interdependencies and coordination across multiple echelons of the supply cha
Externí odkaz:
https://doaj.org/article/1810cf85f56c49649c8356973c4780f0
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractSupply Chain Production Planning (SCPP) is a core value of operation management that affects organization performance and market competitiveness. In the presence of increasing competitive market pressure, firms need to look for a surviving wa
Externí odkaz:
https://doaj.org/article/a193e398cd8749a1b13909acec8a4c26
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 43, Iss 1, Pp 283-294 (2021)
Aggregate production planning when operating time, costs, customer demand, labor level, and machine capacity are uncertain is studied. This study optimizes the aggregate production plan, yielding the minimum total costs by using an integrated fuzzy
Externí odkaz:
https://doaj.org/article/e9626602a73842929f1b832d2d335984
Publikováno v:
Fuzzy Information and Engineering. 12:355-380
This study proposes an improved Fuzzy Programming (FP) approach to optimise multi-objective Aggregate Production Planning (APP) problem under uncertain environments. The proposed approach integrate...
Publikováno v:
International Journal of Fuzzy System Applications. 9:1-30
This study uses an integrated optimization method by applying a weighted additive multiple objective linear model with Possibilistic Linear Programming (PLP) to fuzzy Aggregate Production Planning (APP) problems under an uncertain environment. The un
Publikováno v:
Uncertain Supply Chain Management. :635-664
Publikováno v:
Proceedings of the 2019 International Conference on Management Science and Industrial Engineering.
Providing an efficient supply chain master planning is vital to companies to achieve competitive advantage. In this point of view, we propose the fuzzy multi-objective linear model with α-cut analysis to achieve the optimal supply chain master plann