Defective item inventory model with remanufacturing or replenishing in an integrated supply chain

Purpose The main purpose is to minimize the total inventory cost of chain, whereas the stochastic constraints are satisfied. In other words, the goal is to find optimum agreed stockpiles and period length for products to minimize the total inventory cost of the chain while the stochastic constraints are fulfilled. Design/methodology/approach This paper designs and optimizes an integrated inventory model in a four-echelon supply chain that contains a supplier, a producer, a wholesaler and multiple retailers. All four levels agree with each other to make an integrated inventory system. Products in this model have a multi-stage production process, and the model is bounded by multiple stochastic constraints. The problem model is nonlinear and large. So, the interior point method as an effective algorithm is used for solving the recent convex nonlinear model. Two numerical examples are solved to demonstrate the application of this methodology and to evaluate the performance of the proposed approach. Findings The findings showed the model is applicable for real-world supply chain problems in the cases that echelons are going to do executive external integration. Also, the Interior Point algorithm has a satisfactory performance and a high efficiency in terms of optimum solution for solving nonlinear and large models. Originality/value The authors designed and optimized the inventory cost in a four-level integrated supply chain in stochastic conditions. The new decision variables, number of chain levels, multi-products, stochastic constraints and multi-stage products in four-level integrated supply chain are other novelties of this paper. The authors provided an efficient algorithm for solving a large-scale and nonlinear model in this research, too.

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FIFO IN GREEN SUPPLY CHAIN INVENTORY MODEL OF ELECTRICAL COMPONENTS INDUSTRY WITH DISTRIBUTION CENTRES USING PARTICLE SWARM OPTIMIZATION

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.7.77 ◽

2020 ◽

Vol 9 (7) ◽

pp. 5115-5120

Author(s):

A. Singh Yadav ◽

K.B. Kapil ◽

Shivani ◽

A. Seema ◽

R. Vanaja

Keyword(s):

Particle Swarm Optimization ◽

Supply Chain ◽

Particle Swarm ◽

Inventory Model ◽

Green Supply Chain ◽

Swarm Optimization ◽

Electrical Components

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Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

Mathematics ◽

10.3390/math9050495 ◽

2021 ◽

Vol 9 (5) ◽

pp. 495

Author(s):

Umakanta Mishra ◽

Abu Hashan Md Mashud ◽

Ming-Lang Tseng ◽

Jei-Zheng Wu

Keyword(s):

Supply Chain ◽

Carbon Emissions ◽

Trade Credit ◽

Numerical Study ◽

Inventory Model ◽

Green Technology ◽

Solution Technique ◽

Emission Rates ◽

Sustainable Supply Chain ◽

Green Technologies

This study investigated how greenhouse managers should invest in preservation and green technologies and introduce trade credit to increase their profits. We propose a supply chain inventory model with controllable deterioration and emission rates under payment schemes for shortage and surplus, where demand depends on price and trade credit. Carbon emissions and deterioration are factors affecting global warming, and many greenhouse managers have focused on reducing carbon emissions. Carbon caps and tax-based incentives have been used in many greenhouses to achieve such reduction. Because of the importance of reducing carbon emissions for developing a green supply chain, various studies have investigated how firms deal with carbon emission constraints. In this continuation, we have used green technology to curb the excessive emissions from the environment or make it clean from CO2. In a seller–buyer relationship, the seller can offer a trade credit period to the buyer to manage stock and stimulate demand. Deterioration may become a challenge for most firms as they are under time constraints control, and preservation technology could help. This study proposes three novel inventory strategies for a sustainable supply chain (full backorder, partial backorder, and no backorder), linking all these important issues. The solution optimizes total annual profit for inventory shortage or surplus. We conducted a numerical study with three examples to evaluate the model’s authenticity and effectiveness and demonstrate the solution technique. The deterioration and emission rates can be included in a trade credit policy to increase greenhouse profits. The results suggest that greenhouse managers could apply the proposed model to manage real-world situations.

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Information technology support for integrated supply chain modeling

Human Systems Management ◽

10.3233/hsm-2008-27102 ◽

2008 ◽

Vol 27 (1) ◽

pp. 3-13

Author(s):

Charu Chandra ◽

Jānis Grabis

Keyword(s):

Decision Making ◽

Information Technology ◽

Supply Chain ◽

Process Modeling ◽

Service Oriented Architecture ◽

Model Development ◽

Integrated Models ◽

Supply Chain Modeling ◽

Decision Making Models ◽

Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

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