scholarly journals Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste

2021 ◽  
Vol 13 (14) ◽  
pp. 7774
Author(s):  
Edgar Gutierrez-Franco ◽  
Andres Polo ◽  
Nicolas Clavijo-Buritica ◽  
Luis Rabelo
Keyword(s):  
Supply Chain ◽  
Term Structure ◽  
Programming Model ◽  
Raw Material ◽  
Mixed Integer ◽  
Production Plant ◽  
Sustainable Supply Chain ◽  
Forest Residues ◽  
Multi Objective ◽  
Trade Offs

The production and supply chain management of biofuels from organic waste as raw material has been identified as a promising strategy in the field of renewable energies and circular economy initiatives. This industry involves complex tasks such as strategic land use, feedstock purchasing, production plant location, production capacity strategy, and material flows, which can be solved by mathematical modeling. The study proposed a multi-objective mixed-integer linear programming model to design a sustainable supply chain of biofuels with forest residues from its triple function: economic, environmental, and social. The trade-offs between the proposed objectives were determined with computational results. The proposed objectives were profit maximization, CO2 minimization, and employment generation maximization. Thus, the proposed model serves as a tool for decision-making, allowing the projection of a long-term structure of the biofuel supply chains and contribute to the United Nations Sustainable Development Goals.

scholarly journals Supply chain integration within mass customization: Tactical procurement, production and distribution modeling

2021 ◽  
Vol 14 (2) ◽  
pp. 250
Author(s):  
Mouad Benbouja ◽  
Achraf Touil ◽  
Abdelwahed Echchatbi ◽  
Abdelkabir Charkaoui
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Mass Customization ◽  
Programming Model ◽  
Exact Method ◽  
Raw Material ◽  
Mixed Integer ◽  
Dyadic Relationships ◽  
Distribution Modeling ◽  
Production And Distribution

Purpose: The actual market characteristic oriented toward customers’ requirements compels decision-makers to foresee customization abilities. Mass customization represents a valuable approach to combine customizable offers with mass production processes. From a supply chain standpoint, this paper attempts to develop an integrated procurement, production and distribution modeling to describe the generated framework structure formulation within tactical decision planning level.Design/methodology/approach: The paper provides a mixed integer linear programming model of a three echelon supply chain illustrated from the automotive industry with (a) customers: Original Equipment Manufacturers (OEMs) identified as leaders and (b) first-tier supplier: wiring harnesses manufacturer (c) second-tier supplier: raw material supplier, identified as followers. The model formulation is depicted through dyadic relationships between stakeholders considering the specific operation enablers of the environment such as make to order, modular approach in addition to the corresponding inventory management policy.Findings: The integrated model is solved by an exact method which illustrates the feasibility of the formulation in addition to the observance of the applied constraints. A sensitivity analysis is performed to highlight the interdependency across some key parameters to provide managerial insights within the studied framework while keeping the optimal solvability of the model.Research limitations/implications: The limitation of this study is the computational experiment study. An extensive experiment with a real-word case will outline the optimal solvability status of the exact method and the necessity for a performance benchmark through the approximate solving approaches.Originality/value: The present research aims to contribute as first studies toward mathematical modeling for supply chain decision planning endeavor operating within mass customization business model.

scholarly journals A mixed-integer linear programming model for harvesting, loading and transporting sugarcane. A case study in Peru

DYNA ◽  
2016 ◽  
Vol 83 (195) ◽  
pp. 173-179 ◽  
Author(s):  
Marcela María Morales-Chávez ◽  
José A. Soto-Mejía ◽  
William Ariel Sarache
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Raw Material ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Production Plant ◽  
Integer Linear Programming Model ◽  
The Cost

Due to opportunities for economic and social development in the biofuels market, improvement to the supply chain has become a relevant matter. In agro-industrial supply chains, procurement costs are highly relevant. Since sugarcane is a high performance raw material for ethanol production, this paper proposes a Mixed-Integer Linear Programming Model for cost optimization for harvesting, loading and transportation operations. The model determines the quantity of machines and workers to meet the biofuel plant requirements. Costs of resources for harvesting and loading as well as transportation costs from the land parcel to the production plant are minimized. Also, the model calculates the cost of penalties for shortages (unmet demand) and the cost of equipment idle time. The implementation of the model in a Peruvian biofuels company, showed a cost reduction of around 11 % when compared to the current costs.

scholarly journals Dual-Channel Global Closed-Loop Supply Chain Network Optimization Based on Random Demand and Recovery Rate

2020 ◽  
Vol 17 (23) ◽  
pp. 8768
Author(s):  
Aijun Liu ◽  
Yan Zhang ◽  
Senhao Luo ◽  
Jie Miao
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Net Present Value ◽  
Programming Model ◽  
Social Performance ◽  
Strategic Decision ◽  
Mixed Integer ◽  
Closed Loop Supply Chain ◽  
Multi Objective ◽  
Product Demand

In the process of globalization, customer demand is usually difficult to predict, and product recycling is generally difficult to achieve accurately. It is also urgent to deal with increased inventory while avoiding shortages, with the purpose of reducing supply chain risks. This study analyzes the integrated supply chain decision-making problem in the random product demand and return environment. It proposes a multi-objective optimization model, which is an effective tool to solve the design and planning problems of the global closed-loop supply chain. It consists of a multi-period, single-product and multi-objective mixed integer linear programming model, which can solve some strategic decision problems, including the network structure, entity capacities, flow of products and components, and collection levels, as well as the inventory levels. From the perspective of economic, environmental and social benefits, three objective functions are defined, including maximizing the net present value (NPV) of the system, minimizing the total CO2e emissions of supply chain activities, and maximizing social sustainability indicators. Finally, a numerical example is provided to verify the advantages of this model, and sensitivity analysis results are provided. The results show that changes in product demand and return rate will have a great impact on economic and social performance.

The Optimization of Costs of Supply Chain Network

2015 ◽  
Vol 741 ◽  
pp. 801-805
Author(s):  
Zhuo Dai
Keyword(s):  
Supply Chain ◽  
Programming Model ◽  
Transportation Cost ◽  
Raw Material ◽  
Mixed Integer ◽  
Variable Cost ◽  
Fixed Cost ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Penalty Cost

This research proposes a muti-echelon supply chain network design model. The model includes raw material suppliers, manufacturers, distribution centers, and customer zones. The purpose of this research is to minimize the total costs of supply chain network. The total costs include transportation cost, fixed cost, variable cost, penalty cost. This model is a mixed integer linear programming model. In general, it is very difficult to solve the model. In order to solve the model, Cplex12.6 is used. The results show that this model can be solved by this mathematical programming software well.

The Design of Closed-Loop Supply Chain Network

2015 ◽  
Vol 744-746 ◽  
pp. 1910-1914
Author(s):  
Zhuo Dai
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Programming Model ◽  
Raw Material ◽  
Mixed Integer ◽  
Variable Cost ◽  
Fixed Cost ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Closed Loop Supply Chain

This paper designs a model of muti-echelon closed-loop supply chain network (CLSC network). CLSC network includes raw material suppliers, manufacturers, distribution centers, collection centers and customer zones. The purpose of this paper is to minimize the overall costs of CLSC network. The overall costs include transportation cost, fixed cost, variable cost, penalty cost. This model is a mixed integer linear programming model. In general, it is very difficult to solve the model. Cplex12.6 is used in order to deal with this model. The results show that this model can be solved by Cplex12.6 well.

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