A green inventory model with imperfect items considering inspection process and quality improvement under different shortages scenarios

Sepehri, Arash; Gholamian, Mohammad Reza

doi:10.1007/s10668-022-02187-9

Cited by 18 publications

(7 citation statements)

References 32 publications

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“…In our study, we have considered constant production rate, perfect production system at the manufacturer. One can enrich the study by taking into account variable production rate (Sarkar et al, 2018) and/or imperfect production system (Sepehri and Gholamian, 2022). The competition between the retailers will be another interesting research idea (Mondal and Giri, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…In a two-level supply chain model with imperfect production system, price, advertisement, and green sensitive customer demand, Giri and Dash (2022) established a cost-sharing contract between the manufacturer and the retailer. Sepehri and Gholamian (2022) investigated the impacts of shortages in a sustainable inventory model with price and emission sensitive demand considering quality improvement and inspection process concurrently.…”

Section: Price-and Green-sensitive Demandmentioning

confidence: 99%

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Coordination of a single-manufacturer multi-retailer supply chain with price and green sensitive demand under stochastic lead time

Dash

Giri

Sarkar

2023

Decis. Mak. Appl. Manag. Eng.

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When dealing with uncertainties in the supply chain and ensuring customer satisfaction, efficient management of lead time plays a significant role. Likewise, besides managing inventory and pricing strategies adeptly in multi-retailer supply chains, it has become inevitable for firms to embrace green and sustainable business practices. In this context, this paper considers a two-level supply chain consisting of a single manufacturer and multiple retailers in which the manufacturer produces a single product and delivers it to the retailers in equal-sized batches. Each retailer faces a price and green-sensitive market demand. The lead time is assumed to be a random variable that follows a normal distribution. Shortages for retailer inventory are allowed to occur and are completely backlogged. The centralized model and a decentralized model based on the leader-follower Stackelberg gaming approach are developed. A price discount mechanism between the manufacturer and retailers is proposed. For the acceptance of this contract, the upper and lower limits of the price discount rate are established. Numerical outcomes exhibit that the price discount mechanism effectively coordinates the supply chain and enhances both environmental and economical performances. A sensitivity analysis with respect to some key parameters is performed, and certain managerial insights are emphasized.

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Section: Discussionmentioning

confidence: 99%

Section: Price-and Green-sensitive Demandmentioning

confidence: 99%

Coordination of a single-manufacturer multi-retailer supply chain with price and green sensitive demand under stochastic lead time

Dash

Giri

Sarkar

2023

Decis. Mak. Appl. Manag. Eng.

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“…Manna et al (2020) developed an imperfect production inventory model with selling price discount and warranty-dependent demand under the consideration of IE and time-related development cost. Sepehri and Gholamian (2023) explained that shortages can affect a sustainable inventory system of imperfect quality goods when quality improvement and inspection processes are considered concurrently. Chandramohan et al (2023) considered goods of varying quality, non-instantaneous deterioration, learning effects, and many credit periods, together with a carbon tax and retailer-end inspection to preserve consumer goodwill.…”

Section: Sc Inventory Models and Inspection Errorsmentioning

confidence: 99%

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

Sharma,

Jain,

Sharma

2024

Preprint

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The focus of present article is to investigate a supply chain inventory model along with inspection and stock dependent demand with use of green technology to reduce carbon emissions. Products that are decaying, or those that change over time, have a high sensitivity to the environment in terms of temperature, carbon emission, humidity, waste disposal, etc. This study develops a profit maximization model in the presence of deterioration, preservation, imperfect production, inspection error, rework, stock and price-dependent demand. The three carbon emission strategies are proposed to reduce the expenses in different carbon emissions scenarios. The suggested approach may be used to determine the optimal production period, preservation investment, and level of green investment. The solution of the non-linear constraint optimization is provided by using a penalty method in metaheuristic approaches. In order to conduct a sensitivity analysis for the essential model parameters, a numerical example is presented. The soft computing results produced by DE and PSO are compared with the results obtained by Adaptive Neuro-Fuzzy Inference System (ANFIS) technique.

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“…He considered the buffer stock during preventive maintenance. However, imperfect items may be generated all over the cycle [35]. Sepehri and Gholamian [35] considered an imperfect production inventory model with shortages but without reworking.…”

Section: Imperfect Production With Outsourcingmentioning

confidence: 99%

Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing

Dey,

Seok,

Chung

2024

Mathematics

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Global emphasis on sustainable development is widespread, with industries playing a pivotal role in advancing global sustainability within the business and retail sectors. Consumer awareness of environmental concerns, such as pollution, prompts a focus on product biodegradability and eco-friendliness. Consequently, customers are drawn to products with higher green credentials. This study delves into the effectiveness of green attributes in retail industries, exploring the optimization of profit through a variable production rate and variable unit production cost, considering the selling price and the demand dependent on the product’s green level. In the long run, production systems may shift to an “out-of-control” state, resulting in the random production of imperfect items that must be remanufactured to maintain the industry’s positive brand image. To mitigate the impact of defective items, the industry opts to partially outsource a percentage of items, preventing shortages. However, this complex retailing system generates a significant amount of carbon emissions. This study introduces investments aimed at reducing carbon emissions to address this issue. In contrast with the existing literature, a green-level-dependent unit raw material cost is considered here for variable unit production cost. Ultimately, this study seeks to maximize the overall system’s profit by optimizing the selling price, order quantity, production rate, green level, and carbon emission reduction investments. The classical optimization technique is utilized to obtain analytic optimum results for the decision variables and total profit. Special cases and sensitivity analyses illustrate the real-world applicability and impact of green levels. Numerical findings indicate that considering the product’s green-level-dependent demand and unit production rate is 22.44% more beneficial than nongreen products, partial outsourcing provides a 1.28% advantage, and flexibility in the production rate yields a 69.60% benefit over traditional systems without green elements. Additionally, technological investments to reduce carbon emissions result in a notable reduction of up to 4.53%.

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A green inventory model with imperfect items considering inspection process and quality improvement under different shortages scenarios

Cited by 18 publications

References 32 publications

Coordination of a single-manufacturer multi-retailer supply chain with price and green sensitive demand under stochastic lead time

Coordination of a single-manufacturer multi-retailer supply chain with price and green sensitive demand under stochastic lead time

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing

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