Dual Market Facility Network Design under Bounded Rationality

Mogale, D. G.; Lahoti, Geet; Jha, Shashi Bhushan; Shukla, Manish; Kamath, Narasimha; Tiwari, Manoj Kumar

doi:10.3390/a11040054

Cited by 13 publications

(8 citation statements)

References 26 publications

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“…Mogale et al [21] presented a novel integrated multiobjective, multi-modal and multi-period mathematical model for grain silo location-allocation problem to reduce the total supply chain cost and the lead time. Mogale et al [22] addressed the issue when a number of markets are separated geographically each having a locally different demand pattern, but produce or transport between the different markets, the same common component, the objective solved for is the decision between the 2 options whether to manufacture locally or transport between markets, given, the final assemblies are localized. Costantini et al [23] Provided systematic quantitative evidence of eco-innovation on two channels (direct and indirect) through which the generation and diffusion of green technologies affect environmental performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a omnichannel closed loop green supply chain network adapting preferences of rational customers

et al. 2019

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The manufacturing industry in India started moving towards multi channel supply chain for delivering products to the customer by his preferred channel of purchasing. But firms are far behind to achieve a goal of omnichannel where there exists better interface between various channels which increases their customer range and customer comfort. Also, today consumer awareness had increased with respect to environmental protection while at the other end the government rules and regulations also force firms to go with adopting sustainability concepts like green and recycling processes in supply chains. This work deals with this major issue faced by the firms in India that how to integrate multiples channels in designing their supply chain network considering economic and environmental sustainability simultaneously. This paper presents a mathematical model for an integrated multi channel closed loop supply chain network problem, the modeling decisions that include the selection of the entity that will fulfill the demands of the omni channel customer during different time periods and the supplier selection process integrated with the production amounts, inventory levels, stockouts and shipment quantities. The aim of the model is to minimize the total cost incurred to the customer, total cost incurred in running the supply chain and minimize the total pollution emissions from all the transportations of the products between the different stages of the supply chain. It is a mixed integer programming problem considered for a leading kitchenware company in southern part of India and solved using IBM CPLEX optimizer. The result shows that how the dynamics of omni channel customer options affects the optimal supply chain structure.

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Section: Literature Reviewmentioning

confidence: 99%

Designing a omnichannel closed loop green supply chain network adapting preferences of rational customers

et al. 2019

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“…The paper [5] considers a number of markets, geographically separated, with different demand characteristics for different products that share a common component. This common component can either be manufactured locally in each of the markets or transported between the markets to fulfill the demand.…”

Section: Special Issuementioning

confidence: 99%

Special Issue on Algorithms for Scheduling Problems

2018

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This special issue of Algorithms is devoted to the development of scheduling algorithms based on innovative approaches for solving hard scheduling problems either exactly or approximately. Submissions were welcome both for traditional scheduling problems as well as for new practical applications. The main topics include sequencing and scheduling with additional constraints (setup times or costs, precedence constraints, resource constraints, and batch production environment) and production planning and scheduling problems arising in real-world applications.

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“…Moreover, Genetic Programming (GA) is an evolutionary algorithm used for the effort estimation, and the evolutionary computation is based on the fact that the solution is attained using the cycle of iterations [20,21]. Researchers contribute various models [22] for estimation, yet a new method is required to depict the best estimate for all the situations as each technique is suitable only for a special project [23]. No one can say whether a method is better or worse than another, but they are complementary to each other.…”

Section: Introductionmentioning

confidence: 99%

Whale–crow optimization (WCO)-based Optimal Regression model for Software Cost Estimation

Ahmad¹,

Bamnote²

2019

Sādhanā

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Software Cost Estimation (SCE) is the emerging concern of the software companies during the development phase of the software, as it requires effort and cost factors for modelling the software. These factors are modelled using the Artificial Intelligence models, which seem to be less accurate and non-reliable by increasing the risk factor of the software projects. Thus, for estimating the software cost, meta-heuristics are employed. This paper proposes an algorithm, termed as whale-crow optimization (WCO) algorithm, which is the integration of the whale optimization algorithm (WOA) and the crow search algorithm (CSA). The main function of the WCO algorithm is to determine the Optimal Regression coefficients for the regression models, such as the Linear Regression model and the Kernel Logistic Regression model, to develop an Optimal Regression model to estimate the software cost. The experimentation is carried out using four datasets taken from the Promise software engineering repository to perform effective performance analysis. Analysis is carried out regarding the mean magnitude of relative error (MMRE) that proves that the proposed method of SCE is effective, attaining the average MMRE at a rate of 0.2442 for the proposed Linear Regression model and 0.2692 for the proposed Kernel Regression model. adhana(0123456789().,-volV)FT3 ](0123456789().,-volV)

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Dual Market Facility Network Design under Bounded Rationality

Cited by 13 publications

References 26 publications

Designing a omnichannel closed loop green supply chain network adapting preferences of rational customers

Designing a omnichannel closed loop green supply chain network adapting preferences of rational customers

Special Issue on Algorithms for Scheduling Problems

Whale–crow optimization (WCO)-based Optimal Regression model for Software Cost Estimation

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