An Integrated Multi-Objective Decision Model under Considering Stochastic Demand, Price Breaks and Disruption Risk for Order Allocation in a Multiple-Supplier Environment

2011 ◽  
Vol 204-210 ◽  
pp. 387-390
Author(s):  
Wei Pan ◽  
Xian Jia Wang ◽  
Yong Guang Zhong ◽  
Lun Ran
Keyword(s):  
Supply Chain ◽  
Decision Model ◽  
Raw Materials ◽  
Service Level ◽  
Order Allocation ◽  
Purchasing Cost ◽  
Multi Objective ◽  
Disruption Risk ◽  
Order Quantities ◽  
Risk Cost

The objective of this article is to study the order allocation problems in a stochastic supply chain. This supply chain consists of a company that can order raw materials from multiple suppliers. At any time of a supply order, decisions have to be made by the company concerning the respective supplier order quantities and price breaks, so that the total purchasing cost and disruption risk cost are minimized, while maintaining a specified service level and quality. For this purpose, we have developed an integrated multi-objective decision model under random constraint to supply order allocation.

scholarly journals A literature review on multi-echelon inventory management: the case of pharmaceutical supply chain

2018 ◽  
Vol 200 ◽  
pp. 00013 ◽  
Author(s):  
Nouçaiba Sbai ◽  
Abdelaziz Berrado
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Inventory Management ◽  
Raw Materials ◽  
Integrated Approach ◽  
Service Level ◽  
Pharmaceutical Products ◽  
Management Problem ◽  
Pharmaceutical Supply Chain ◽  
Customer Service Level

Inventory management remains a key challenge in supply chain management. Many companies recognize the benefits of a good inventory management system. An effective inventory management helps reaching a high customer service level while dealing with demand variability. In a complex supply chain network where inventories are found across the entire system as raw materials or finished products, the need for an integrated approach for managing inventory had become crucial. Modelling the system as a multi-echelon inventory system allows to consider all the factors related to inventory optimization. On the other hand, the high criticality of the pharmaceutical products makes the need for a sophisticated supply chain inventory management essential. The implementation of the multi-echelon inventory management in such supply chains helps keeping the stock of pharmaceutical products available at the different installations. This paper provides an insight into the multi-echelon inventory management problem, especially in the pharmaceutical supply chain. A classification of several multi-echelon inventory systems according to a set of criteria is provided. A synthesis of multiple multi-echelon pharmaceutical supply chain problems is elaborated.

Fuzzy Multi-Objective Approach for Designing of Biomass Supply Chain for Polygeneration With Triple Footprint Constraints

2013 ◽  
Author(s):  
A. T. Ubando ◽  
K. B. Aviso ◽  
A. B. Culaba ◽  
D. K. S. Ng ◽  
R. R. Tan
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Raw Materials ◽  
Economic Potential ◽  
Industrial Case Study ◽  
Multi Objective ◽  
Product Demand ◽  
Demand Scenario ◽  
Energy Products

Polygeneration systems produce multiple energy products (i.e. electricity, heat, cooling), and other biochemical products (biofuels and syngas). Such systems offer a sustainable approach in meeting the ever-growing demand of energy, while reducing its environmental impact. The optimal design of such systems should consider the design of the supply-chain in producing the targeted energy products to reduce the resource consumption and waste generation and to maximize its economic potential. One of the important considerations in designing such a system is whether to out-source its raw materials or to produce them in-house. The criteria for such decision strategies are assessed through economics, product demand, and environmental impact. One holistic way to measure the environmental impact of such system is to consider the triple footprint: carbon, water, and land. The objective of this work is to maximize the economic potential while maintaining the footprints at acceptable levels and simultaneously meeting product demands. In this study, an adoption of fuzzy multi-objective approach is presented wherein the economic potential is introduced as a constraint. Moreover, predefined fuzzy trapezoidal-shaped limits for the product demand constraints are used which mimics the probabilistic demand scenario for each of the product streams. Lastly, the triple footprint constrains is utilized to assess the environmental impact of the polygeneration. The technique is demonstrated using a modified industrial case study of a polygeneration system.

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