scholarly journals ROLE OF OPTIMAL PRODUCTION PLAN AT THE FOCAL FIRM IN OPTIMIZATION OF THE SUPPLY CHAIN

2019 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
M.M. HARIS ASLAM ◽  
KAMRAN RASHID ◽  
TASHFEEN M. AZHAR
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Planning ◽  
Network Optimization ◽  
Programming Model ◽  
Activity Level ◽  
Mixed Integer ◽  
Chain Management ◽  
Planning Decisions ◽  
Focal Firm

Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving this goal, current study presents a model that incorporates the activity level planning at the focal firm in a supply chain. This paper presents a new mixed integer programming model that incorporates optimization of production planning at the focal firm while optimizing the strategic alignment of the supply chain entities. The model represents a four step, multi-echelon supply chain including supplier, warehouse, manufacturer, and retailer. The manufacturer in this network represents the focal firm. This model is an attempt to integrate the production planning decisions in the network optimization decisions.

scholarly journals Algorithm and mathematical model of supply chain management for raw wood from the regions in Russia: Сomparison and analysis

2020 ◽  
Vol 15 (3) ◽  
pp. 385-404
Author(s):  
Rodion Sergeevich Rogulin ◽  
◽  
Lev Solomonovich Mazelis ◽  
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Branch And Bound ◽  
Raw Materials ◽  
Mixed Integer ◽  
Branch And Bound Method ◽  
Chain Management ◽  
Industrial Enterprises ◽  
Non Linear

Supply chain management is a burning issue for modern industrial enterprises. To handle this issue, non-linear stochastic models are successfully applied to find the reasonable and efficient solutions. A need to develop a unique method to find the solutions to supply chain management tasks defined as stochastic mixed-integer non-linear programming tasks is determined by the limitations imposed by the general models. The sum of the total raw procurement costs from the Commodity Exchange over the defined planning horizon is taken to be the target function of the unique model, while the binary variables which show whether a purchasing order is included into the procurement plan are used for optimization purposes. Some parameters of model’s limitations are stochastic and consider the uncertainty factor and risks in supplying the required raw materials to the manufacturing site. Branch-and-bound and genetic algorithms are applied at some steps in the developed heuristic algorithm. The algorithm and the model are tested at a major timber processing enterprise in Primorsky Area. Four types of processors over three planning horizons were applied to compare the efficiency of the proposed algorithm with partial application of the genetic algorithm or branch-and-bound method. The findings analysis shows that, unlike the genetic algorithm, the unique one is more stable in terms of uncertainty of the input parameters in comparison with the branch-and-bound method. It provides the solutions in the models with a great number of variables. The algorithm is shown to be universal enough for its further modification in solving more complicated problems of the same class, containing a significantly larger number of probabilistic parameters that describe other uncertainties in the supply of raw materials. Further research is seen to include the development of the proposed algorithm to increase the rate of convergence for its better efficiency.

Multi-objective green supply chain network optimization

2017 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Seval Ene ◽  
Nursel Öztürk
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Network Optimization ◽  
Strategic Decision ◽  
Green Supply Chain ◽  
Chain Management ◽  
Multi Objective ◽  
Proposed Model ◽  
Conflicting Objectives

In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives.  Keywords: Green supply chain management, multi-objective modelling, network optimization;  

scholarly journals Production Planning Problem of a Two-Level Supply Chain with Production-Time-Dependent Products

2021 ◽  
Vol 11 (20) ◽  
pp. 9687
Author(s):  
Jun-Hee Han ◽  
Ju-Yong Lee ◽  
Bongjoo Jeong
Keyword(s):  
Supply Chain ◽  
Production Planning ◽  
Programming Model ◽  
Planning Horizon ◽  
Mixed Integer ◽  
Planning Problem ◽  
Manufacturing Plant ◽  
Production Lines ◽  
Multiple Production ◽  
Production Planning Problem

This study considers a production planning problem with a two-level supply chain consisting of multiple suppliers and a manufacturing plant. Each supplier that consists of multiple production lines can produce several types of semi-finished products, and the manufacturing plant produces the finished products using the semi-finished products from the suppliers to meet dynamic demands. In the suppliers, different types of semi-finished products can be produced in the same batch, and products in the same batch can only be started simultaneously (at the same time) even if they complete at different times. The purpose of this study is to determine the selection of suppliers and their production lines for the production of semi-finished products for each period of a given planning horizon, and the objective is to minimize total costs associated with the supply chain during the whole planning horizon. To solve this problem, we suggest a mixed integer programming model and a heuristic algorithm. To verify performance of the algorithm, a series of tests are conducted on a number of instances, and the results are presented.

Multi-objective green supply chain network optimization

2017 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Ilker Küçükoğlu ◽  
Nursel Öztürk
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Network Optimization ◽  
Strategic Decision ◽  
Green Supply Chain ◽  
Chain Management ◽  
Multi Objective ◽  
Proposed Model ◽  
Conflicting Objectives

Abstract   In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: green supply chain management, multi-objective modelling, network optimization.  

Production planning and supply chain management under the conditions of Industry 4.0

2021 ◽  
pp. 189-210
Author(s):  
Aleksei V. Bogoviz ◽  
Anastasia A. Kurilova ◽  
Irina A. Tarasova ◽  
Tatiana N. Litvinova ◽  
Evgeny A. Likholetov
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Planning ◽  
Industry 4.0 ◽  
Chain Management
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