Lot sizing with carbon emission constraints

Absi, Nabil; Dauzère‐Pérès, Stéphane; Kedad-Sidhoum, Safia; Penz, Bernard; Rapine, Christophe

doi:10.1016/j.ejor.2012.11.044

Cited by 212 publications

(107 citation statements)

References 19 publications

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“…Carbon constraints are incorporated into the EOQ model [4] and showed that carbon emissions can be significantly reduced without significantly increasing cost via operational adjustments alone. In [22] the carbon emissions constraints are introduced to the multi-sourcing lot-sizing problem. They examined the uncapacitated lotsizing problem under four types of constraints.…”

Section: Introductionmentioning

confidence: 99%

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua

Cheng

Zhang

et al. 2016

Int. j. simul. model.

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We consider perishable inventory control with freshness-dependent demand under carbon emissions constraints. We propose two deteriorating inventory models with carbon emissions tax and the capand-trade mechanism, in which the demand is freshness dependent, carbon emissions come from inventory holding, shipping, and item deteriorating, and the objective is to maximize the profit per unit time. We characterize the existence and uniqueness of the solutions for the models. We analyse the impacts of carbon emissions tax, carbon emissions quota, and carbon price on inventory decisions, carbon emissions, and profit. We conduct simulation to generate managerial insights from our analytical results.

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Section: Introductionmentioning

confidence: 99%

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua

Cheng

Zhang

et al. 2016

Int. j. simul. model.

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“…al., 2014) or timevarying deterministic demand (Kantas et al, 2015;Absi et al, 2013;Helmrich et al, 2012). Only the work of Song and Leng, (2011) considers stochastic continuous demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system

Purohit

Shankar

Dey

et al. 2016

Journal of Cleaner Production

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“…Constraint (7) assigns each operation of the jobs to its proper machine while considering the machine's priority, and the assigned operations are ordered on the machines. Constraint (8) restricts each operation of the jobs to be executed on one machine and one priority. Constraint (9) implies that the operations are non-preemptable.…”

Section: Indexesmentioning

confidence: 99%

“…6,7 In the tactical level, carbon dioxide can be integrated in decisions regarding production and distribution such as inventory and lot sizing models. 8,9 In the operational level, carbon dioxide can be integrated in scheduling problems such as batch scheduling and hybrid flow shop scheduling problems. 10 Previously, research attempts in manufacturing scheduling have mainly focused on reducing makespan, buffer size, tardiness, mean flow time, etc.…”

Section: Introductionmentioning

confidence: 99%

Reduction of carbon emission and total late work criterion in job shop scheduling by applying a multi-objective imperialist competitive algorithm

Piroozfard¹,

Wong²,

Tiwari³

2018

IJCIS

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New environmental regulations have driven companies to adopt low-carbon manufacturing. This research is aimed at considering carbon dioxide in the operational decision level where limited studies can be found, especially in the scheduling area. In particular, the purpose of this research is to simultaneously minimize carbon emission and total late work criterion as sustainability-based and classical-based objective functions, respectively, in the multiobjective job shop scheduling environment. In order to solve the presented problem more effectively, a new multiobjective imperialist competitive algorithm imitating the behavior of imperialistic competition is proposed to obtain a set of non-dominated schedules. In this work, a three-fold scientific contribution can be observed in the problem and solution method, that are: (1) integrating carbon dioxide into the operational decision level of job shop scheduling, (2) considering total late work criterion in multi-objective job shop scheduling, and (3) proposing a new multi-objective imperialist competitive algorithm for solving the extended multi-objective optimization problem. The elements of the proposed algorithm are elucidated and forty three small and large sized extended benchmarked data sets are solved by the algorithm. Numerical results are compared with two well-known and most representative metaheuristic approaches, which are multi-objective particle swarm optimization and non-dominated sorting genetic algorithm II, in order to evaluate the performance of the proposed algorithm. The obtained results reveal the effectiveness and efficiency of the proposed multi-objective imperialist competitive algorithm in finding high quality non-dominated schedules as compared to the other metaheuristic approaches.

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Lot sizing with carbon emission constraints

Cited by 212 publications

References 19 publications

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system

Reduction of carbon emission and total late work criterion in job shop scheduling by applying a multi-objective imperialist competitive algorithm

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