Strategic defect management for a sustainable green supply chain

Gautam, Prerna; Kishore, Aakanksha; Khanna, Aditi; Jaggi, Chandra K.

doi:10.1016/j.jclepro.2019.06.005

Cited by 76 publications

(22 citation statements)

References 50 publications

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“…In order to better study the actual business situation, both the goodwill and demand dynamics would naturally take uncertainty into account. Furthermore, it is interesting to investigate the costly price adjustment and defect management [49][50][51] based on the current model [52].…”

Section: Discussionmentioning

confidence: 99%

A Joint Dynamic Pricing, Advertising, and Production Model with Inventory-Level-Dependent Goodwill

Wang

Wei

Zhang

2020

Discrete Dynamics in Nature and Society

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Inventory level has a significant impact on the goodwill of products to customers, which seldom becomes the focus of previous studies. In this paper, joint dynamic pricing, advertising, and production decision-making problem is investigated, where the demand rate depends on sales price and goodwill. The inventory and backlog as well as advertisement are considered as goodwill-building factors. The optimal dynamic pricing, advertising, and production policies are derived by using Pontryagin’s maximum principle. Numerical examples are provided to demonstrate the obtained results, and sensitivity analysis of main system parameters is carried out to obtain some managerial insights. We find that when the initial goodwill is relatively high, the firm’s profit first decreases and then increases with respect to the impact intensity of inventory on goodwill; otherwise, the firm always benefits from a higher impact intensity of inventory on goodwill. Furthermore, the optimal production and advertising policies are complementary caused by the feature of inventory-dependent goodwill.

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Section: Discussionmentioning

confidence: 99%

A Joint Dynamic Pricing, Advertising, and Production Model with Inventory-Level-Dependent Goodwill

Wang

Wei

Zhang

2020

Discrete Dynamics in Nature and Society

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“…An economic production quantity model involving fuzzy demand rate was proposed by De et al [6], where the purchase cost was constant. Gautam et al [11] studied on a strategic defect management for sustainable green supply chain. Roy et al [34] developed a two-warehouse inventory model with probabilistic demand and price discount on back-ordered under two levels of trade-credit policy.…”

Section: (D)mentioning

confidence: 99%

Back-ordered inventory model with inflation in a cloudy-fuzzy environment

Barman¹,

Pervin²,

Roy³

et al. 2021

JIMO

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In this paper, an Economic Production Quantity model for deteriorating items with time-dependent demand and shortages including partially back-ordered is developed under a cloudy-fuzzy environment. At first, we develop a crisp model by considering linearly time-dependent demand with constant deterioration rate, constant inflation rate and shortages under partially back-ordered, then we fuzzify the model to archive a decision under the cloudy-fuzzy (extension of fuzziness) demand rate, inflation rate, deterioration rate and the partially back-ordered rate which are followed by their practical applications. In this model, we assume ambiances where cloudy normalized triangular fuzzy number is used to handle the uncertainty in information which is coming from the data. The main purpose of our study is to defuzzify the total inventory cost by applying Ranking Index method of fuzzy numbers as well as cloudy-fuzzy numbers and minimize the total inventory cost of crisp, fuzzy, and cloudy-fuzzy model. Finally, a comparative analysis among crisp, fuzzy and cloudy-fuzzy total cost is carried out in this paper. Numerical example, sensitivity analysis, and managerial insights are elaborated to justify the usefulness of the new approach. A comparative inquiry of the numerical result with a new existing paper is also carried out. This paper ends with a conclusion along with advantages and limitations of our solution approach, and an outlook towards possible future studies.

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“…In any sustainable inventory model for deteriorated products, decision-making is an essential issue for the management. Even though the management decides the optimum decisions, it may not always be correct based on the physical property of the product [11,18]. Cárdenas-Barrón and Sana [5], Panda et al [35], and Cárdenas-Barrón et al [6] described in their paper that for maintaining the better decision, the management always takes several strategies to earn more based on the promotional policies using the variable demand and product deterioration.…”

Section: Introductionmentioning

confidence: 99%

Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy

Mashud

Sarkar

2021

RAIRO-Oper. Res.

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Sustainable inventory management is a common issue for any industry. This proposed study explains a representation of mathematical modelling for maintaining sustainability through the preservation technology for deteriorating products and trade-credit strategy for sustainable marketing. Based on the actual life circumstances, it is found that the demand for deteriorated products is influenced by the increasing frequency of advertising and preservation technology. The foremost aim of this study is to maintain sustainability with optimal pricing and optimal strategies to invest in preservation technology and optimal cycle length to take full advantage of the total profit. For solving the model, a classical optimization technique is utilized, and some theoretical results are shown with a graph of the profit function. Couples of experiments compare the proposed results and the existing literature and give some outcomes for different deterioration types. To illustrate and justify the model, a sensitivity analysis conceded for demonstrating the proposed model's flexibility by changing one parameter while keeping others fixed. The result shows that the trade-credit strategy under the preservation technology makes the management's most substantial marketing benefit.

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Strategic defect management for a sustainable green supply chain

Cited by 76 publications

References 50 publications

A Joint Dynamic Pricing, Advertising, and Production Model with Inventory-Level-Dependent Goodwill

A Joint Dynamic Pricing, Advertising, and Production Model with Inventory-Level-Dependent Goodwill

Back-ordered inventory model with inflation in a cloudy-fuzzy environment

Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy

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