An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm

Choudhary, Anshul; Suman, Ravi; Dixit, Vijaya; Tiwari, Manoj Kumar; Fernandes, Kiran; Chang, Pei‐Chann

doi:10.1016/j.ijpe.2014.10.011

Cited by 23 publications

(13 citation statements)

References 52 publications

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“…Furthermore, they have shown the effectiveness of CRO among the few other metaheuristics by solving different optimization problems. In recent times, Choudhary et al (2015) developed the non-linear programming model with the objective of maximization of quadratic profit function which handles the tradeoff between twin challenges i.e., pressure of regulatory penalties and reduced demand, of monopolist firm serving to the environmental sensitive market and solved by the CRO. The multi-objective flexible job-shop scheduling problem was evaluated by Li and Pan (2012), where the objective function includes the minimization of maximal completion time, total workload, and maximal workload with preventive and non-preventive maintenance constraints.…”

Section: Solution Approachesmentioning

confidence: 99%

Bulk wheat transportation and storage problem of public distribution system

Mogale

Kumar

Mrquez

et al. 2017

Computers & Industrial Engineering

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This research investigates the multi-period multi-modal bulk wheat transportation and storage problem in a two-stage supply chain network of Public Distribution System (PDS). The bulk transportation and storage can significantly curtail the transit and storage losses of food grains, which leads to substantial cost savings. A mixed integer non-linear programming model (MINLP) is developed after studying the Indian wheat supply chain scenario, where the objective is to minimize the transportation, storage and operational cost of the food grain incurred for efficient transfer of wheat from producing states to consuming states. The cost minimization of Indian food grain supply chain is a very complex and challenging problem because of the involvement of the many entities and their constraints such as seasonal procurement, limited scientific storages, varying demand, mode of transportation and vehicle capacity constraints. To address this complex and challenging problem of food grain supply chain, we have proposed the novel variant of Chemical Reaction Optimization (CRO) algorithm which combines the features of CRO and Tabu search (TS) and named it as a hybrid CROTS algorithm (Chemical reaction optimization combined with Tabu Search). The numerous problems with different sizes are solved using the proposed algorithm and obtained results have been compared with CRO. The comparative study reveals that the proposed CROTS algorithm offers a better solution in less computational time than CRO algorithm and the dominance of CROTS algorithm over the CRO algorithm is demonstrated through statistical analysis.

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Section: Solution Approachesmentioning

confidence: 99%

Bulk wheat transportation and storage problem of public distribution system

Mogale

Kumar

Mrquez

et al. 2017

Computers & Industrial Engineering

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“…The demand function assumed in our work is more general in terms of treating price sensitive coefficient as α 1 and β 1 respectively. Many scholars consider the more general demand function in their work [3,51,1,6,52,53,55]. Therefore, the demand function can be assumed as Assumption 2.…”

Section: Modelmentioning

confidence: 99%

“…To be specific, the cost of reducing per-unit emissions to a level E 1 will cost t(E 0 − E 1 ) 2 , where t determines the magnitude of the cost involved in making an investment". Alok et al [1] have also adopted the same investment function of emission reduction as Baris and Richard [3].…”

Section: Assumption 2 the Demand Function Of Product A Is Qmentioning

confidence: 99%

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Joint decision on pricing and waste emission level in industrial symbiosis chain

Cao¹,

Xiao²,

Li³

2018

Journal of Industrial &Amp; Management Optimization

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Based on a monopoly model in industrial symbiosis chain including one upstream manufacturer and one downstream manufacturer, the price sensitive-environmental concern demand is introduced into the paper. The decision behaviors of the manufacturers in industrial symbiosis chain under environmental regulations imposed by the policy makers or the government in waste emission standard, waste emission tax and subsidy for waste usage are investigated. The results show the operational factors of the manufacturers must be taken into account in the right formulation of waste emission standard, and the simultaneous implementation of waste emission tax and subsidy for external environmental performance of the manufacturers is superior to a single policy. Environmental concerned consumers with stronger green attitude who are more willing to buy environmentally friendly products could pressurize the manufacturers into decreasing waste emission level, and the manufacturers will affirmatively involve in industrial symbiosis chain due to the intervention of environmental regulations. Especially, integrated industrial symbiosis becomes the optimal decision for the manufacturers to boost both economic benefit and environmental performance. Waste emission contract and quantity discount contract can be techniques to improve the performance of non-integrated industrial symbiosis chain.

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“…There is a lot of literature focusing on coordination of green supply chain and the cooperative innovation contract between universities and industry [12][13][14]. However, very few researches have addressed the issue of optimal strategies of green innovation under the multi-stage cooperation.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Optimal Strategies of Industry-University-Institute Green Innovation with Subsidy

et al. 2018

Sustainability

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With the increasing awareness of environmental protection and the complexity and rapid change of technological innovation, more and more enterprises seek to develop and research (R&D) institutions to cooperate with green innovation. In order to promote the cooperation efficiency of green innovation, this paper develops a multi-stage game model to analyze the optimal strategies of the enterprise, the university and the policy-maker with consumer learning and government subsidy. Then the paper compares the difference of optimal subsidy between the single-stage green innovation cooperation and the multi-stage green innovation cooperation. The research shows that consumers' initial learning factors and green innovation cooperation cycle have a significant impact on the optimal input level of the enterprise and the university and also have a significant impact on the optimal subsidy of the government. The specific government subsidy and subsidy ratio depend on the comprehensive role of consumer learning factors and the green innovation cooperation cycle. In the end, we propose that the government should subsidize the university at times when the initial consumer learning factor is low; the government subsidy should be properly lagged when the initial consumer learning factor is high.

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An optimization model for a monopolistic firm serving an environmentally conscious market: Use of chemical reaction optimization algorithm

Cited by 23 publications

References 52 publications

Bulk wheat transportation and storage problem of public distribution system

Bulk wheat transportation and storage problem of public distribution system

Joint decision on pricing and waste emission level in industrial symbiosis chain

An Empirical Study on Optimal Strategies of Industry-University-Institute Green Innovation with Subsidy

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