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Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions

International journal of advanced manufacturing technology, 2019-05, Vol.102 (1-4), p.159-181 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019. corrected publication 2019 ;Copyright Springer Nature B.V. 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. corrected publication 2019. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-018-3151-y

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Title:
Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions
Author: Jamalnia, Aboozar ; Yang, Jian-Bo ; Feili, Ardalan ; Xu, Dong-Ling ; Jamali, Gholamreza
Subjects: CAE) and Design ; Classification ; Computer simulation ; Computer-Aided Engineering (CAD ; Engineering ; Evidential reasoning ; Fuzzy logic ; Industrial and Production Engineering ; Literature reviews ; Management science ; Mathematical analysis ; Mathematical programming ; Mechanical Engineering ; Media Management ; Operations management ; Original Article ; Production planning ; Uncertainty analysis
Is Part Of: International journal of advanced manufacturing technology, 2019-05, Vol.102 (1-4), p.159-181
Description: This is the first literature survey of its kind on aggregate production planning (APP) under uncertainty. Different types of uncertainty, such as stochasticity, fuzziness and possibilistic forms, have been incorporated into many management science techniques to study APP decision problem under uncertainty. In current research, a wide range of the literature which employ management science methodologies to deal with APP in presence of uncertainty is surveyed by classifying them into five main categories: stochastic mathematical programming, fuzzy mathematical programming, simulation, metaheuristics and evidential reasoning. First, the preliminary analysis of the literature is presented by classifying the literature according to the abovementioned methodologies, discussing about advantages and disadvantages of these methodologies when applied to APP under uncertainty and concisely reviewing the more recent literature. Then, APP literature under uncertainty is analysed from management science and operations management perspectives. Possible future research paths are also discussed on the basis of identified research trends and research gaps.
Publisher: London: Springer London
Language: English
Identifier: ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s00170-018-3151-y
Source: ProQuest Central

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Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions

Springer-Verlag London Ltd., part of Springer Nature 2019. corrected publication 2019 ;Copyright Springer Nature B.V. 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. corrected publication 2019. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-018-3151-y

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