Analyzing a four-layer green supply chain imperfect production inventory model for green products under type-2 fuzzy credit period

Panja, Subrata; Mondal, Shyamal Kumar

doi:10.1016/j.cie.2019.01.059

Cited by 63 publications

(11 citation statements)

References 42 publications

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“…Giri et al [16] developed a closed-loop supply chain model with selling price, warranty period and greensensitive consumer demand under revenue-sharing contract. Panja and Mondal [31] analyzed a four-layer green supply chain imperfect production inventory model where demand is a function of green degree and wholesale price. Also, Panja and Mondal [32] discussed the effects of the green degree on-demand and profit function under the game-theoretic scenario.…”

Section: Table 1 Comparison Between Different Researchesmentioning

confidence: 99%

“…Many researchers have been considered demand function as various forms in his /her model such as credit-linked demand (Banu and Mondal [4], Panja and Mondal [32], advertisement dependent demand rate (Manna et al [27], stock-dependent demand rate (Manna et al [26]; a linear form of the selling price (Panja and Mondal [31]); time dependent demand (Barman et al [5]) , etc. Nowadays, modern customers are more attracted to the quality of a product also the governments are also inspiring the manufacturing industry to produce sustainable products for which the environment is not harmed.…”

Section: Table 1 Comparison Between Different Researchesmentioning

confidence: 99%

“…In their study, they considered that the manufacturer will get a credit period from the supplier if the ordering quantity is or more than a prescribed fixed quantity and the credit length is increased with the increment of order level. Recently, Panja and Mondal [31] formulated a production inventory model where a supplier offers a credit period to a manufacturer depending on the order quantity whose upper limit is bounded by the supplier. Realizing the above facts, in our model, we have incorporated credit period depending on advertisement frequency.…”

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Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period

Dolai

Banu

Mondal

2023

JIMO

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<p style='text-indent:20px;'>In this research work, we have developed an imperfect production inventory model under the screening process in the manufacturing system to meet the demand of quality items for the customer. Here, the novelty lies in the screening rate depending on the number of cycles and the learning effect of the workers. The motivation behind such consideration is to increase the screening rate in each subsequent cycle on account of the learning of the workers. The virtue of government policy is to keep the environment free from pollution, nowadays the production of green products is very essential although this can lead to higher production costs for the manufacturer. As a result, customers also have to pay higher purchasing costs. So, to motivate the customers extensively to buy a green product, awareness about such product is very essential. In this regard, the manufacturer adopts an innovative advertising policy, which is another novelty of this research work. Ultimately, the demand function depends on the green degree, advertisement frequency and the retailer's selling price. It is also noted that in the present competitive business market the manufacturer offers an incentive to their retailers to carry on their business smoothly. In this regard, a credit period policy of logistic nature has been taken. Finally, an integrated profit function has been developed and its feasibility has been justified taking a numerical example. The result indicates that not only an appropriate advertisement frequency but also a suitable level of the green degree of the product is more important for maintaining the integrated profit of the system and individual profit of the retailer and the manufacturer also. We have analyzed the impacts of the retailer's advertisement frequency on the optimal credit period and the retailer's profit. We have also analyzed how the learning rate of the workers affects the screening cost and the manufacturer's profit.</p>

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Section: Table 1 Comparison Between Different Researchesmentioning

confidence: 99%

Section: Table 1 Comparison Between Different Researchesmentioning

confidence: 99%

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confidence: 99%

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Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period

Dolai

Banu

Mondal

2023

JIMO

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“…After that Liao [18] developed an EOQ model for deteriorating items by extending Huang's model. Some relevant works on credit period were established by Dye and Ouyang [8], Chung and Cardenas-Barron [4], Das et al [6], Panja and Mondal [24]. Now, it is known to us that the trade credit policy is completely own choice of a manufacturer or a supplier or a retailer.…”

Section: Introductionmentioning

confidence: 99%

“…But, fuzziness of a parameter can be found in type-2 fuzzy scenario. Till now, there is only a few search on credit period in type-2 fuzzy sense such as Panja and Mondal [24]. Thus, search with type-2 fuzzy credit period is important in inventory model to study the effects of credit period in fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

Adjustment of credit period and stock-dependent demands in a supply chain model with variable imperfectness

2021

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In this model, a supply chain model has been developed where a manufacturer continuously transports perfect quality items at no cost to a distribution center to maintain the market demand. At the beginning of the process, the production process is in an "in-control" state, but after a random time, it goes to an "out-of-control" state. Thus the production process produces perfect as well as imperfect items in this state. The rate of imperfect production depends on production rate and production-run length in the "out-of-control" state. The unit production cost of the manufacturer depends on the production rate which indicates that the higher production rate is the cause of higher production cost if it exceeds the normal production rate set by the manufacturer. The manufacturer provides a credit period to the distributor to increase his sales growth. In the competitive business world, credit period affects the demand rate of a retailer/buyer due to its late payment facility. So, here, credit period dependent demand function is introduced for the distributor. During the festive season, demand factor of products is usually affected by stock level. Also, for some types of products (such as clothing), the demand factor depends on its stock level. Thus we have considered stock-dependent demand function for the customers. Now, in an infinite time horizon, the problem is how they adjust their demands to sustain the whole system's financial flow. The novelty of this model is to analyze the compatibility of this two-type of demand in their businesses so that both can maintain their profits. Also, there is another credit length which is offered by the distributor. The proposed model has been discussed in type-2 fuzzy environment due to the uncertainty of the credit period. The purpose of this model is to optimize the integrated profit of the system by optimizing production rate and production-run time. Finally, numerical examples have been provided to illustrate the feasibility of both crisp and fuzzy model and some conclusions are derived conducting a sensitivity analysis of different parameters.

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An application of interval differential equation on a production inventory model with interval‐valued demand via center‐radius optimization technique and particle swarm optimization

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Analyzing a four-layer green supply chain imperfect production inventory model for green products under type-2 fuzzy credit period

Cited by 63 publications

References 42 publications

Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period

Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period

Adjustment of credit period and stock-dependent demands in a supply chain model with variable imperfectness

An application of interval differential equation on a production inventory model with interval‐valued demand via center‐radius optimization technique and particle swarm optimization

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