A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints

Ghiami, Yousef; Williams, Terry; Wu, Yue

doi:10.1016/j.ejor.2013.06.015

Cited by 73 publications

(28 citation statements)

References 55 publications

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“…Ghiami et al (2013) obtain the exact inventory level of the supplier of a two-echelon distribution system (a single-buyer, single-supplier model). In this model however the production rate is infinite which means that the supplier receives the batches in lots.…”

Section: Introductionmentioning

confidence: 99%

A two-echelon production-inventory model for deteriorating items with multiple buyers

Ghiami

Williams

2015

International Journal of Production Economics

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Section: Introductionmentioning

confidence: 99%

A two-echelon production-inventory model for deteriorating items with multiple buyers

Ghiami

Williams

2015

International Journal of Production Economics

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“…In general, the scientific community has proposed numerous studies to adaptation to the incertitude of the market and the fast demand variations aiming to optimize and integrate different manufacturing problems, inventory and SCM so that in an agile and flexible way, it minimizes costs and attend efficiently the client's orders. (consult Bandyopadhyay and Bhattacharya 2014;Baud-Lavigne et al 2014;Diabat et al 2015;Ghiami et al 2013;Hiremath et al 2013;Haq and Boddu 2014;Kumar et al 2014;Mousavi et al 2013Mousavi et al , 2014Park and Kyung 2014;Sadeghi et al 2014;Triki et al 2014;Xiang et al 2014;Yao and Huang 2014;İnkaya and Akansel 15).…”

Section: Contextualization and Rationalementioning

confidence: 97%

A Genetic Algorithm applied to pick sequencing for billing

2015

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This article addresses the use of Holland's Genetic Algorithms (GAs) (Holland in Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, MI, 1975) in solving an optimization problem not exploited yet by literature, which we have named Optimal Billing Sequencing (OBS). The objective of the GA proposed is to automate pick sequencing, which addresses the process of allocating the stock available for sale to the purchase orders in a portfolio, so that the maximization of the billing is the optimal result for the OBS. A modelling and computational simulation methodology has been employed. Such methodology is designed to enable the GA to meet the boundary conditions established by predefined decision restrictions and parameters. We have reached the conclusion, by means of experimental tests, that the GA developed satisfactorily solves the problem studied. In addition to a low computational overhead, the GA reduces operating costs and speeds picking decision-making processes and billing processes.

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“…Moreover, several researchers have studied integrated inventory models for deteriorating items developed from the supply chain perspective. For example, Ghiami et al [27] proposed a one-wholesaler and one-retailer supply chain model for deteriorating items in which the retailer's warehouse capacity is limited. In their model, the demand rate of the retailer is stock-dependent and shortages are allowed.…”

Section: Supply Chain Coordination Models For Deteriorating Itemsmentioning

confidence: 99%

Coordinating a supply chain for deteriorating items with multi-factor-dependent demand over a finite planning horizon

Bai

et al. 2016

Applied Mathematical Modelling

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Coordinating a supply chain for deteriorating items with multi-factor-dependent demand over a finite planning horizon, Applied Mathematical Modelling (2016), Highlights• We prove the lower bound on penalty for decentralization.• We propose a revised revenue-sharing (RRS) contract to coordinate the developed system.• The RRS contract always yields a higher profit than the revenue-sharing (RS) contract.• Under these two contracts, the optimal conditions of attaining a win-win outcome are derived. AbstractThe paper considers a one-manufacturer and one-retailer supply chain for deteriorating items over a finite planning horizon. For the case with multi-factor-dependent demand, we analyze the coordination of the system within a contract mechanism. We first formulate and then compare a decentralized model and a centralized model; following this, we propose a revenue-sharing contract and a revised revenue-sharing contract to coordinate the decentralized supply chain. We illustrate the proposed models with a numerical example and sensitivity analysis of the coordination results on several key parameters. The results show that the supply chain's profit in the centralized system increases by at least 1 3 , both contracts can coordinate the system and the fraction parameter of the revenue exists when each contract is acceptable to both members of the supply chain, and the revised revenue-sharing contract always yields a higher profit than the revenue-sharing contract. Furthermore, the supply chain's profit under the revised revenue-sharing contract is shown to be equivalent to that in the centralized system.

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A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints

Cited by 73 publications

References 55 publications

A two-echelon production-inventory model for deteriorating items with multiple buyers

A two-echelon production-inventory model for deteriorating items with multiple buyers

A Genetic Algorithm applied to pick sequencing for billing

Coordinating a supply chain for deteriorating items with multi-factor-dependent demand over a finite planning horizon

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