The activity-based aggregate production planning with capacity expansion in manufacturing systems

Zhang, Renqian; Zhang, Lankang; Xiao, Yiyong; Kaku, Ikou

doi:10.1016/j.cie.2011.10.016

Cited by 38 publications

(23 citation statements)

References 34 publications

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“…For solving the APP problems, there exists many other methods, such as the fuzzy grey goal programming approach (Sadeghi, Hajiagha, & Hashemi, 2013), the multi-objective tabu search method (Baykasoglu & Gocken, 2010;Baykasoglu & Göçken, 2006), the hybrid of genetic algorithm and tabu search (Ramezanian, Rahmani, & Barzinpour, 2012), the genetic algorithm (Al-e et al, 2012), the linear relaxation approach (Zhang, Zhang, Xiao, & Kaku, 2012), meta-heuristic approaches (Baykasoglu & Gocken, 2010;Raa, Dullaert, & Aghezzaf, 2013), and possibilistic linear programming approaches (Hsieh & Wu, 2000;Liang, 2007;Sakallı, Baykoç, & Birgören, 2010;Vasant, Barsoum, & Bhattacharya, 2008). Possibilistic linear programming models possess many advantages over other stochastic linear programming models with respect to computational efficiency and flexible doctrines (Liang, 2007;Vasant et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

A possibilistic environment based particle swarm optimization for aggregate production planning

Chakrabortty

Hasin

Sarker

et al. 2015

Computers & Industrial Engineering

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Section: Introductionmentioning

confidence: 99%

A possibilistic environment based particle swarm optimization for aggregate production planning

Chakrabortty

Hasin

Sarker

et al. 2015

Computers & Industrial Engineering

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“…The joint consideration of capacity investment decisions and production and inventory decisions is addressed only in a few publications (e.g.¸ Thomas & Bollapragada, 2010;Zhang et al, 2012;Lim et al, 2013;Mitra et al, 2014). However, in some industries the interaction between capacity and inventory decisions is significant.…”

Section: /28mentioning

confidence: 99%

“…Some examples of models that jointly address these decisions are proposed by Wang et al (2007a), Yang et al (2009), Zhang et al (2012 and Lim et al (2013), among others.…”

Section: /28mentioning

confidence: 99%

“…With regard to capacity-size decisions, most deterministic single-site models consider capacity expansion as the only option to adapt capacity to demand, assuming non decreasing market demand over time (the most recent are Rajagopalan & Swaminathan, 2001;Wang & Lin, 2002;Çatay et al, 2003;Wang & Hou, 2003;Zhang et al, 2012;Lim et al, 2013). Atamtürk & Hochbaum (2001) highlights the opportunity of outsourcing as another way to meet a growing demand.…”

Section: Literature Reviewmentioning

confidence: 99%

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Single-site strategic capacity planning considering renewal, maintenance, inventory, taxes and cash flow management

Benedito

Corominas

Martínez

et al. 2016

Journal of the Operational Research Society

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This paper deals with strategic capacity planning of a single-site manufacturing system.We propose a MILP model that includes relevant business aspects and possibilities, some of which are only partially or not at all found in the literature. Specifically, we consider decisions on expansion, reduction and renewal of production capacity, and acquisition of storage capacity. In addition, we model aspects such as a) maintenance costs and unit variable costs depending, respectively, on age and characteristics of facilities, b) seasonality of the demand, and c) cash flow management, including taxes and, therefore, depreciation of assets. The model maximises the after-tax cash balance at the end of the planning horizon. We also present a computational experiment with 54 instances to show that the model can be solved for a wide range of sizes in a reasonable computing time using comercial software.

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“…The results showed that these proposed algorithms could obtain good quality solutions for APP and could be efficient for large scale problems. Zhang et al [11] applied a mixed integer linear programming (MILP) model to the problem of aggregate production planning (APP) with capacity expansion in a manufacturing system including multiple activity centers. They used the heuristic based on capacity shifting with linear relaxation to solve the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposing an Aggregate Production Planning Model by Goal Programming Approach, a Case Study

Rad¹,

Shirouyehzad²

2014

Data Envelopment Analysis and Decision Science

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Production planning is one of the most important functions in the process of production management. Production planning in the intermediate range of time is termed as "aggregate production planning (APP)". Aggregate production planning is an important upper level planning activity in a production management system. The present study tries to suggest an aggregate production planning model for products of Hafez tile factory during one year. Due to this fact that the director of the company seeks 3 main objectives to determine the optimal production rate, the linear goal planning method was employed. After solving the problem, in order to examine the efficiency and the distinctiveness of this method in compare to linear programming, the problem was modeled just by considering one objective then was solved by linear programming approach. The findings revealed the goal programming with multi objectives resulted more appropriate solution rather than linear programming with just one objective.

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The activity-based aggregate production planning with capacity expansion in manufacturing systems

Cited by 38 publications

References 34 publications

A possibilistic environment based particle swarm optimization for aggregate production planning

A possibilistic environment based particle swarm optimization for aggregate production planning

Single-site strategic capacity planning considering renewal, maintenance, inventory, taxes and cash flow management

Proposing an Aggregate Production Planning Model by Goal Programming Approach, a Case Study

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