Pricing and Replenishment Policies for Imperfect Quality Deteriorating Items Under Inflation and Permissible Delay in Payments

Jaggi, Chandra K.; Goel, Satish K.; Mittal, Mandeep

doi:10.4018/jsds.2011040102

Cited by 17 publications

(6 citation statements)

References 35 publications

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“…This would lead to a worthwhile contribution in the supply chain management system. We choose also to refer the interested reader to such related recent developments in the subject as those by Chung et al 15 , to their other recent works, 16,[40][41][42][43][44][45] and by Liao et al 17,18 ).…”

Section: Resultsmentioning

confidence: 99%

Retailer's optimal ordering policy in the EOQ model with imperfect‐quality items under limited storage capacity and permissible delay

Liao

Huang

Chung

et al. 2018

Math Methods in App Sciences

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With a view to reducing inventory and increase sales, a supplier frequently offers its buyers a permissible delay in payment to attract new retailers for bulk purchase, and so extra storage spaces are needed for the buyers. Moreover, in a real environment, some defective items are produced because not only the production processes but also the inspection processes are not perfect, thereby generating defects then resulting in extra costs. Keeping these facts in mind, this article proposes a profit‐maximizing economic order quantity model that incorporates both imperfect production quality and permissible delay in payments in the case when the own warehouse with limited capacity is not sufficient to store the ordered quantity and, therefore, a rented warehouse is needed to store the excess units over the capacity of the owned warehouse. Mathematical model and solution procedures are developed with major insight into its functional characteristics. Numerical examples and sensitivity analysis are provided to illustrate and analyze the model performances. It is observed that our model has significant impacts on the optimal lot size and the optimal profit of the mathematical model, which is considered in this article.

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Section: Resultsmentioning

confidence: 99%

Retailer's optimal ordering policy in the EOQ model with imperfect‐quality items under limited storage capacity and permissible delay

Liao

Huang

Chung

et al. 2018

Math Methods in App Sciences

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“…Where a , g are positive number, n is number of shipments and b is learning rates In this paper, Jaggi et al (2011) work is extended by introducing the learning concept. The impact of learning is determined with trade-credit financing under inflationary conditions.…”

Section: Some Concepts Related To Assumptionsmentioning

confidence: 99%

Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning

Jayaswal

Mittal

2022

International Journal of Information Systems and Supply Chain Management

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Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective items in the lots. This paper deals with the inventory model that determines economic order quantity (EOQ) with learning effect for decaying defective quality items under the inflationary condition and credit financing policy. The objective of the work is to analyze the impact of credit financing policy, learning, and inflationary condition on the order quantity and retailer profits. Results revealed that the trade-credit policy will be beneficial for the retailer. Conclusively, sensitive analysis has been presented to understand the robustness of the models.

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“…These service quality perceptions result from a comparison of clients expectations with actual service performance. Rust and Oliver (1994) emphasized that understanding how customers view service quality is essential to the effective management of a service firm (Fazlollahtabar et al, 2012;Jaggi et al, 2011;Jajimoggala et al, 2011).…”

Section: Importance Of Service Qualitymentioning

confidence: 99%

An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks

Fatemeh

Fazlollahtabar

Mahdavi

2013

International Journal of Strategic Decision Sciences

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In today’s changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network process (Fuzzy ANP). Defuzzification of decision makers’ judgments is handled by Converting Fuzzy data into Crisp Scores (CFCS) method. Fuzzy DEMATEL is applied to deal with inner dependencies among criteria. Fuzzy ANP is used to compute final ranking of four banks as an empirical example. An empirical study is presented to illustrate the application of the proposed method.

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Pricing and Replenishment Policies for Imperfect Quality Deteriorating Items Under Inflation and Permissible Delay in Payments

Cited by 17 publications

References 35 publications

Retailer's optimal ordering policy in the EOQ model with imperfect‐quality items under limited storage capacity and permissible delay

Retailer's optimal ordering policy in the EOQ model with imperfect‐quality items under limited storage capacity and permissible delay

Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning

An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks

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