scholarly journals Local Blood Supply Chain Optimization: A Case Study

2020 ◽  
Vol 18 (4) ◽  
Author(s):  
Reza Babazadeh ◽  
Ali Sabbaghnia ◽  
Fatemeh Shafipour
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Blood Donation ◽  
Programming Model ◽  
Human Life ◽  
Mixed Integer ◽  
Model Parameters ◽  
Supply Chain Optimization ◽  
Blood Supply Chain ◽  
Proposed Model

: Blood and its products play an undeniable role in human life. In recent years, although both academics and practitioners have investigated blood-related problems, further enhancement is still warranted. In this study, a mixed-integer linear programming model was proposed for local blood supply chain management. A supply network, including temporary and fixed blood donation facilities, blood banks, and blood processing centers, was designed regarding the deteriorating nature of blood. The proposed model was applied in a real case in Urmia, Iran. The numerical results and sensitivity analysis of the key model parameters ensured the applicability of the proposed model.

scholarly journals Design of Blood Supply Chain and Application to Marmara Region in Turkey

2019 ◽  
Vol 4 (3) ◽  
pp. 27-36
Author(s):  
Liban Ali Mohamed ◽  
Osman Yazicioglu ◽  
Oguz Borat
Keyword(s):  
Supply Chain ◽  
Blood Transfusion ◽  
Blood Supply ◽  
Blood Donation ◽  
Transportation Costs ◽  
Mixed Integer ◽  
Marmara Region ◽  
Blood Products ◽  
Blood Supply Chain ◽  
General Algebraic Modeling System

Blood transfusion is needed due to operations, diseases or accidents. Millions of people's health depends on the success of their blood transfusion. Planning and management is required to supply blood, test against diseases, produce blood products, store t hem and transport them to hospitals. A blood supply chain network design such as Blood Donation Centers (CBM), Regional Blood Centers (RBC), Destruction Centers (DM), and hospitals are addressed. To formulate the problem, the General Algebraic Modeling System (GAMS) software was applied to the Mixed Integer Model. When the number of RBC in Marmara region decreased from 3 to 2, opening and transportation costs increased to $5.37 million. When the number of RBCs increased from 3 to 4, opening and transportation costs decreased to $3.94 million.

scholarly journals Supply chain optimization with variable demand by considering financial criteria and scenarios

2017 ◽  
Vol 26 (44) ◽  
pp. 21 ◽  
Author(s):  
John Willmer Escobar
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Net Present Value ◽  
Programming Model ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Supply Network ◽  
Distribution Centers ◽  
Supply Chain Optimization ◽  
Starting Point

This paper contemplates the supply chain design problem of a large-scale company by considering the maximization of the Net Present Value. In particular, the variability of the demand for each type of product at each customer zone has been estimated. As starting point, this paper considers an established supply chain for which the main problem is to determine the decisions regarding expansion of distribution centers. The problem is solved by using a mixed-integer linear programming model, which optimizes the different demand scenarios. The proposed methodology uses a scheme of optimization based on the generation of multiple demand scenarios of the supply network. The model is based on a real case taken from a multinational food company, which supplies to the Colombian and some international markets. The obtained results were compared with the equivalent present costs minimization scheme of the supply network, and showed the importance and efficiency of the proposed approach as an alternative for the supply chain design with stochastic parameters.

scholarly journals A Hybrid Method for Modeling and Solving Supply Chain Optimization Problems with Soft and Logical Constraints

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Paweł Sitek ◽  
Krzysztof Bzdyra ◽  
Jarosław Wikarek
Keyword(s):  
Supply Chain ◽  
Hybrid Method ◽  
Optimization Problems ◽  
Programming Model ◽  
Combinatorial Problem ◽  
Search Space ◽  
Mixed Integer ◽  
Optimization Models ◽  
Supply Chain Optimization ◽  
Logical Constraints

This paper presents a hybrid method for modeling and solving supply chain optimization problems with soft, hard, and logical constraints. Ability to implement soft and logical constraints is a very important functionality for supply chain optimization models. Such constraints are particularly useful for modeling problems resulting from commercial agreements, contracts, competition, technology, safety, and environmental conditions. Two programming and solving environments, mathematical programming (MP) and constraint logic programming (CLP), were combined in the hybrid method. This integration, hybridization, and the adequate multidimensional transformation of the problem (as a presolving method) helped to substantially reduce the search space of combinatorial models for supply chain optimization problems. The operation research MP and declarative CLP, where constraints are modeled in different ways and different solving procedures are implemented, were linked together to use the strengths of both. This approach is particularly important for the decision and combinatorial optimization models with the objective function and constraints, there are many decision variables, and these are summed (common in manufacturing, supply chain management, project management, and logistic problems). TheECLiPSesystem with Eplex library was proposed to implement a hybrid method. Additionally, the proposed hybrid transformed model is compared with the MILP-Mixed Integer Linear Programming model on the same data instances. For illustrative models, its use allowed finding optimal solutions eight to one hundred times faster and reducing the size of the combinatorial problem to a significant extent.

scholarly journals Dynamic Stochastic Optimization of Emergent Blood Collection and Distribution from Supply Chain Perspective

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiangyu Jin ◽  
Huajun Tang ◽  
Yuxin Huang
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Blood Donors ◽  
Blood Donation ◽  
Blood Collection ◽  
Chain Model ◽  
Blood Supply Chain ◽  
Conduct Sensitivity Analysis ◽  
Managerial Implications ◽  
Dynamic Stochastic

In response to emergencies, it is critical to investigate how to deliver emergency supplies efficiently and securely to disaster-affected areas and people. There is no doubt that blood is deemed one of the vital relief supplies, and ensuring smooth blood delivery may substantially alleviate subsequent impacts caused by the disaster. Taking red blood cell products as the research object, this work proposes a four-echelon blood supply chain model. Specifically, it includes blood donors, blood donation houses, blood centres, and hospitals. Furthermore, numerical analysis is provided to test the feasibility of blood collection and distribution schemes and conduct sensitivity analysis to test the impacts of the relevant parameters (e.g., apheresis donation proportion of red blood cells (RBCs), distance between blood donors and blood facilities, and times of blood donation) on the scheme. This research provides some scientific and reasonable support for decision makers and managerial implications for emergency departments and contributes to the study of emergent blood supply chain.

A Mixed-Integer Linear Programming Model of Closed Loop Supply Chain Network for Manufacturing System

2018 ◽  
Vol 35 ◽  
pp. 198-207 ◽  
Author(s):  
S. Nallusamy ◽  
K. Balakannan ◽  
P.S. Chakraborty ◽  
Gautam Majumdar
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Mixed Integer Linear Programming ◽  
Closed Loop ◽  
Programming Model ◽  
Mixed Integer ◽  
Order Quantity ◽  
Integer Linear Programming Model ◽  
Proposed Model ◽  
Fixed Order

In the present scheme of things, in a manufacturing industry inventory is pitched as one of the significant resources that require to be handled effectively. The aim of this research article is to develop a mixed-integer linear programming model to configure the closed loop supply chain (CLSC) network and that could be optimized for maximizing the profit by determining the fixed order quantity inventory policy in various sites at multiple periods. The objective is to maximize the profit through CLSC by determining the optimal inventory of product and part mix during multiple periods. In onward supply chain, a standard inventory policy is followed when the product moves from manufacturer to end user, but it is very difficult to manage the inventory in the reverse supply chain of the product with the same standard policy. The proposed model examines the standard policy of fixed order quantity by considering three major types of return-recovery pair such as, commercial returns, end-of-use returns, end-of-life returns and their inventory positioning at multiple periods. Raw material supplier, manufacturer, distributer, retailer, customers and for major returns-collection sites like repair site, disassembly site, recycling site and disposal site were included in the network to develop this CLSC network model. The proposed model to configure the CLSC network has been solved by using IBM ILOG CPLEX OPL studio and the results of the model were analysed with numerical investigations followed by sensitivity analysis.

scholarly journals A hybrid NSGA-II algorithm for the closed-loop supply chain network design in e-commerce  

2021 ◽  
Author(s):  
Shayan Shafiee Moghadam ◽  
Amir Aghsami ◽  
Masoud Rabbani
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Programming Model ◽  
Mixed Integer ◽  
Modern World ◽  
Supply Chain Network ◽  
Nsga Ii ◽  
Closed Loop Supply Chain ◽  
Proposed Model ◽  
Nonlinear Programming Model

Designing the supply chain network is one of the significant areas in e-commerce business management. This concept plays a crucial role in e-commerce systems. For example, location-inventory-pricing-routing of an e-commerce supply chain is considered a crucial issue in this field. This field established many severe challenges in the modern world, like maintaining the supply chain for returned items, preserving customers' trust and satisfaction, and developing an applicable supply chain with cost considerations. The research proposes a multi-objective mixed integer nonlinear programming model to design a closed-loop supply chain network based on the e-commerce context. The proposed model incorporates two objectives that optimize the business's total profits and the customers' satisfaction. Then, numerous numerical examples are generated and solved using the epsilon constraint method in GAMS optimization software. The validation of the given model has been tested for the large problems via a hybrid two-level non-dominated sort genetic algorithm. Finally, some sensitivity analysis has been performed to provide some managerial insights.

scholarly journals A location-allocation model for quality-based blood supply chain under IER uncertainty

2021 ◽  
Vol 55 ◽  
pp. S967-S998
Author(s):  
Shiva Moslemi ◽  
Seyed Hamid Reza Pasandideh
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Extraction Methods ◽  
Allocation Model ◽  
Location Allocation ◽  
Product Demand ◽  
Blood Supply Chain ◽  
Main Challenge ◽  
Proposed Model ◽  
Transfusion Ratio

Providing blood with high quality at the lowest cost and the shortest time is main challenge of blood supply chain management. This paper presents a new model for designing a dynamic and three level blood supply chain incorporating the quality issues. The proposed model intends to locate facilities, and to determine the best strategy for blood allocation by minimizing both cost and time and maximizing the customer satisfaction based on quality of blood delivery. In order to deal with consideration of real world, intricacies such as blood freshness, both separation and apheresis extraction methods, Cross match to Transfusion ratio (C/T) and equipment failure have been involved. Also, Interval Evidential Reasoning (IER) approach is applied to handle the uncertainty of blood product demand. Since the proposed model is NP-hard, MOPSO and NSGAII algorithms are utilized to solve it. Finally, to demonstrate the applicability of the problem some numerical examples are designed in different sizes and the most favorable algorithm is determined using TOPSIS method.

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