A green supply chain production inventory model with uncertain holding cost

2017 ◽  
Vol 7 (3) ◽  
pp. 277 ◽  
Author(s):  
Debnarayan Khatua ◽  
Gourisankar Roymahapatra ◽  
Kalipada Maity
Keyword(s):  
Supply Chain ◽  
Inventory Model ◽  
Green Supply Chain ◽  
Production Inventory ◽  
Holding Cost

A green supply chain production inventory model with uncertain holding cost

2017 ◽  
Vol 7 (3) ◽  
pp. 277
Author(s):  
Kalipada Maity ◽  
Debnarayan Khatua ◽  
Gourisankar Roymahapatra
Keyword(s):  
Supply Chain ◽  
Inventory Model ◽  
Green Supply Chain ◽  
Production Inventory ◽  
Holding Cost

Two layers green supply chain imperfect production inventory model under bi-level credit period

Tékhne ◽  
2017 ◽  
Vol 15 (2) ◽  
pp. 124-142 ◽  
Author(s):  
A.K. Manna ◽  
B. Das ◽  
J.K. Dey ◽  
S.K. Mondal
Keyword(s):  
Supply Chain ◽  
Inventory Model ◽  
Green Supply Chain ◽  
Credit Period ◽  
Imperfect Production ◽  
Production Inventory

System dynamics model of production-inventory-routing system in the green supply chain

2021 ◽  
pp. 1-14
Author(s):  
Katayoun Naderi ◽  
Roya M. Ahari ◽  
Javid Jouzdani ◽  
Atefeh Amindoust
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Supply Chains ◽  
Transportation Cost ◽  
Green Supply Chain ◽  
Ideal Condition ◽  
Inventory Routing ◽  
Production Inventory ◽  
Fierce Competition ◽  
Maximum Production Rate

Fierce competition in the global markets forced companies to improve the design and management of supply chains, because companies are always looking for more profit and higher customer satisfaction. The emergence of the green supply chain is one of the most important developments of the last decade. It provides an opportunity for companies to adjust their supply chains according to environmental goals and sustainability. The integrated production-inventory-routing is a new field that aims to optimize these three decision-making levels. It can be described as follow: a factory produces one or more products, and sells them to several customers (by direct delivery or a specific customer chain). The current study aims to model a production-inventory-routing system using a system dynamics approach to design a green supply chain under uncertain conditions. For this purpose, first, the association between selected variables was determined. Then, the proposed model was validated. Finally, to identify variables with the highest influence, four scenarios were developed. The results indicated that minimum total transportation cost, the total warehouse capacity of the supply chain, and the maximum production rate are the most influential strategies to achieve ideal condition.

scholarly journals Implementing Green Supply Chain Management for Online Pharmacies through a VADD Inventory Model

2019 ◽  
Vol 16 (22) ◽  
pp. 4454 ◽  
Author(s):  
Yan-Kwang Chen ◽  
Fei-Rung Chiu ◽  
Yu-Cheng Chang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Solution Procedure ◽  
Inventory Model ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Web Interfaces ◽  
Online Pharmacy ◽  
Online Pharmacies

Online pharmacies are an important part of the modern healthcare system. They interact with customers through well-designed web interfaces to deliver the healthcare customers need. In addition to well-designed web interfaces, online pharmacies rely on an effective supply chain system to provide medical supplies and services, and especially effective inventory management for supply systems. As green supply chain management (GSCM) becomes increasingly considered by countries, how to develop a sustainable inventory model that takes into account the revenue growth of an online pharmacy while preventing waste and reducing energy costs has become very important. In line with this trend, the study develops a sustainable inventory model that focuses on both economic aspect (profit) and environmental aspect (losses from excessive inventory) within a framework of a single period multi-product inventory model. Specifically, the sustainable inventory model applies the visual-attention-dependent demand (VADD) rate to characterize customer demand in an online trading environment, thereby seeking a profitable marketing strategy and reducing losses due to excessive inventory. Since the complexity of model optimization will drastically increase due to the inclusion of many products in the problem, a Genetic Algorithm (GA) based solution procedure is proposed to increase the feasibility of the proposed model in solving real problems. The sustainable inventory model and the solution procedure are illustrated, compared, and discussed with an online pharmacy example. Additionally, a sensitivity analysis is formulated to study the influence of model parameters on the model solution, the loss of unsold inventory that results in a waste of resources and energy, and the profit of online pharmacies.

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