Single stage fuzzy supply chain model with Weibull distributed demand for milk commodities

Bhosale, Mrinalini; Latpate, Raosaheb

doi:10.1007/s41066-019-00186-2

Cited by 13 publications

(4 citation statements)

References 21 publications

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“…implement. Most of the recent fuzzy [17][18][19] and non-fuzzy [20][21][22][23][24] solutions focus on solving highly complex single-item problems, lacking the generalization to multi-item problems.…”

Section: Of 12mentioning

confidence: 99%

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

Luís,

Santos,

Mendonça

et al. 2024

Preprint

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This paper proposes a novel formulation of the fuzzy newsvendor problem for inventory management applications. This new formulation allows the use of any profit function. A new credibility estimation is proposed to explore the neighborhood around the most impactful demand scenarios. Further, a simulation procedure was designed for the different demand scenarios, which allows the comparison of the proposed approach with probabilistic demand curves. The fuzzy newsvendor problem is solved using a modified genetic algorithm (GA), where an initialization mechanism with null values is proposed. The new formulation of the fuzzy newsvendor problem together with the modified GA have shown to improve the average profit up to 55% in problems with low-budget scenarios.

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Section: Of 12mentioning

confidence: 99%

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

Luís,

Santos,

Mendonça

et al. 2024

Preprint

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“…Zamanian et al (2019) introduced the quantitative modelling of the natural gas pipeline SC and its growth by emphasizing on the ecological and financial costs and overall sales using the structured, optimized model and solved using the fuzzy goal programming approach. Bhosale and Latpate (2019) considered the demand for milk products, which follows Weibull distribution. In this paper, the authors discussed perishable products under the decentralized and centralized SC with a single cycle (newsboy vendor).…”

Section: Literature Reviewmentioning

confidence: 99%

An efficient stochastic programming approach for solving integrated multi-objective transportation and inventory management problem using goodness of fit

Gupta

Chaudhary

Chatterjee

et al. 2021

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PurposeLogistics is the part of the supply chain (SC) that plans, executes and handles forward and reverse movement and storage of products, services and related information, in order to respond to customers' needs effectively and efficiently. The main concern for logistics is to ensure that the correct product is placed at the right time. This paper introduces a linear model of shipping focused on decision-making, which includes configuration of shipping network, choosing of transport means and transfer of individual customer shipments through a particular transport system.Design/methodology/approachIn this study, authors try to address the problem of supply chain network (SCN) where the primary goal is to determine the appropriate order allocation of products from different sources to different destinations. They also seek to minimize total transportation cost and inventory cost by simultaneously determining optimal locations, flows and shipment composition. The formulated problem of getting optimal allocation turns out to be a problem of multi-objective programming, and it is solved by using the max-addition fuzzy goal programming approach, for obtaining optimal order allocation of products. Furthermore, the problem demand and supply parameters have been considered random in nature, and the maximum likelihood estimation approach has been used to assess the unknown probabilistic distribution parameters with a specified probability level (SPL).FindingsA case study has also been applied for examining the effectiveness and applicability of the developed multi-objective model and the proposed solution methods. Results of this study are very relevant for the manufacturing sector in particular, for those facing logistics issues in SCN. It enables researchers and managers to cope with various types of uncertainty and logistics risks associated with SCN.Research limitations/implicationsThe principal contribution of the proposed model is the improved modelling of transportation and inventory, which are affected by different characteristics of SCN. To demonstrate computational information of the suggested methods and proposed model, a case illustration of SCN is provided. Also, environmentalism is increasingly becoming a significant global concern. Hence, the concept proposed could be extended to include environmental aspects as an objective function or constraint.Originality/valueEfficient integration of logistical cost components, such as transportation costs, inventory costs, with mathematical programming models is an important open issue in logistics optimization. This study expands conventional facility location models to incorporate a range of logistic system elements such as transportation cost and different types of inventory cost, in a multi-product, multi-site network. The research is original and is focused on case studies of real life.

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“…Problems arise when the number of items and their relations increase, leading to highly nonlinear problems, making analytical approaches hard to implement [17]. Most of the recent fuzzy [18][19][20] and non-fuzzy [21][22][23][24][25] solutions have focused on solving highly complex single-item problems, lacking generalization to multi-item problems.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

Sousa,

Luís,

Santos

et al. 2024

Mathematics

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This paper proposes a novel approach to the fuzzy newsvendor problem for inventory management applications. The main contributions of the paper are the following: a new credibility estimation is proposed, to explore the neighborhood around the most impactful demand scenarios; a simulation procedure was designed for the different demand scenarios, which allows comparison of the proposed approach with classical and fuzzy multi-item newsvendor problems; a modified genetic algorithm (GA) is introduced to ameliorate previous genetic algorithms in both the generation and evaluation of solutions. The new formulation of the fuzzy newsvendor problem, together with the modified GA, were shown to improve the average profit by up to 55% in problems with low-budget scenarios.

show abstract

Single stage fuzzy supply chain model with Weibull distributed demand for milk commodities

Cited by 13 publications

References 21 publications

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

An efficient stochastic programming approach for solving integrated multi-objective transportation and inventory management problem using goodness of fit

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

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