A Mathematical Programming Approach to Supply Chain Network Design considering Shareholder Value Creation

نویسندگان

چکیده

One of the main goals supply chain management is to ensure proper flows products and information through all nodes them in right place at time. To achieve this objective, it very important consider finances among nodes. Traditionally, operational financial processes have been optimized as separate problems. The developed model addresses problem designing a network tries integrate both areas operations aspects maximize value created measured by Shareholder Value Analysis (SVA). results show that with appropriate decisions, creating more for company its shareholders achievable. new approach able improve total shareholder much 0.7% larger than SVA obtained without 0.93% basic model. reason an increase creation due aspects, which mainly possibility closing facilities bank debt repayments. validate applicability proposed model, was solved GAMS-BARON solver data provided from literature. Sensitivity analyses on parameters were performed evaluate results.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A multi-period fuzzy mathematical programming model for crude oil supply chain network design considering budget and equipment limitations

The major oil industry upstream activities include the exploration, drilling, extraction, pipelines installation, and production of crude oil. In this paper, we develop a mathematical model to plan for theseoperations as a crude oil supply chain network design problem.The proposed multi-period mixed integer linear programming model entails both strategic (e.g., facility location and allocation)...

متن کامل

Supply chain value creation methodology under BSC approach

The objective of this paper is proposing a developed balanced scorecard approach to measure supply chain performance with the aim of creating more value in manufacturing and business operations. The most important metrics have been selected based on experts’ opinion acquired by in-depth interviews focused on creating more value for stakeholders. Using factor analysis method, a survey research h...

متن کامل

An Interactive Possibilistic Programming Approach to Designing a 3PL Supply Chain Network Under Uncertainty

The design of closed-loop supply chain networks has attracted increasing attention in recent decades with environmental concerns and commercial factors. Due to the rapid growth of knowledge and technology, the complexity of the supply chain operations is increasing daily and organizations are faced with numerous challenges and risks in their management. Most organizations with limited resources...

متن کامل

Considering chain to chain competition in forward and reverse logistics of a dynamic and integrated supply chain network design problem

In this paper, a bi-objective model is presented for dynamic and integrated network design of a new entrant competitive closed-loop supply chain. To consider dynamism and integration in the network design problem, multiple long-term periods are regarded during planning horizon, so that each long-term period includes several short-term periods. Furthermore, a chain to chain competition between t...

متن کامل

A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi-objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to the epistemic uncertain nature of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Discrete Dynamics in Nature and Society

سال: 2022

ISSN: ['1607-887X', '1026-0226']

DOI: https://doi.org/10.1155/2022/2072301