Optimization Of Supply Chain Management Research Articles

Closed-loop real-time supply chain management for perishable products

Supply chain networks are dynamical systems with particular control challenges that stem from inventory deterioration and external disturbances (i.e., unanticipated consumer demand, time delays, etc.). For industries handling highly perishable inventory (e.g, fresh produce, vaccines, biologics) controlling product quality throughout the multiple echelons of the supply chain is critical to minimize inventory waste and satisfy consumer quality requirements. However, quality, as a function of time and environmental conditions (i.e., temperature, humidity, light, etc.), is difficult to model accurately resulting in unpredicted inventory spoilage. In this paper we demonstrate a novel closed-loop, feedback-based control framework that employs real-time product quality measurements for optimal supply chain management. A moving horizon approach is used to periodically update decisions (i.e., production, transportation, storage, and respective environmental conditions) based on fed-back information. We demonstrate that the postulated feedback controller effectively stabilizes the supply chain dynamics, while minimizing costs. An illustrative case study is provided.

Proposing a new model for location - routing problem of perishable raw material suppliers with using meta-heuristic algorithms

In the last three decades, an integrated approach to optimize logistics system is considered as one of the most important aspects of optimizing supply chain management. This approach involves the ties between locations of facility, allocation of suppliers/customers, structure of transportation routes and inventory control. The aim of this paper is to investigate the ordering planning of a supply chain with multi supplier, multi distribution center, multi customer and one perishable raw material. This paper provides a mathematical model taking in consideration the limitation of raw material corruptibility (perishable material) which belongs to the category of NP-hard problems. To solve the proposed model, the Ant Colony Optimization algorithm (ACO) and Particle Swarm Optimization algorithm (PSO) are employed. In order to improve performances of ACO and PSO parameters, a Taguchi experimental design method was applied to set their proper values. Besides, to evaluate the performance of the proposed model, an example of the dairy industry is analyzed by using MATLAB R 2015a. To validate the proposed meta-heuristic algorithms, the results of them were compared with together. The results of the comparison show that ACO is greater than PSO in speed convergence rate and the number of solutions iterations.

Optimization Algorithm in Supply Chain Management

Optimization in the field of Operations Research has applications in various industries, be it medicine, business, analytics or education. Likewise Supply Chain Management (SCM) is required in every industry and with the need comes various challenges to get the optimized and best quality solution. There are stochastic, analytical models working on attaining optimization in various sub events involved in SCM. Supply Chain is a network at global level used for delivering of products and services from unprocessed materials to consumers through well-structured and planned flow of information, physical distribution and money. The process of managing this supply chain is Supply Chain Management. A major work on the previous research done using various mathematical models, be it mixed integer linear, nonlinear programming or evolutionary have been depicted in this paper. The aim is to get the best result and comparative approach is focused. This article provides a detailed study on various techniques, algorithms and mathematical models in optimization of SCM and in particular it focuses on Genetic Algorithm (GA) in SCM.

Optimizing supply chain management of processed fish products in the industrial era 4.0

The UMKM which is the target of this research is the UMKM which is engaged in processing fish caught in Pasuruan Regency. There are several superior products of processed fish caught in Pasuruan Regency which are managed by UMKM so far so many and can be one alternative to improve the welfare of MSME entrepreneurs. However, from the processed fishery products to become a valuable product, a good management is needed so that the supply or availability of catched fish is sufficient in order to equalize and fulfill the desired demand. In supporting this inventory control activity, a management concept is needed that can regulate the flow of goods and information that is precise and accurate from the supply chain, namely the concept of Supply Chain Management (SCM). The focus of the research is on how to manage the supply chain of fish raw materials from captured products through research methods using Supply chain Management (SCM) with the Fuzzy Analytical Hierarchy Process (AHP) method, to then proceed with the implementation of a sales development strategy for MSME Coastal Superior Products. From the results of the analysis and discussion obtained in the determination of supplier selection criteria, a pairwise comparison between criteria, sub-criteria and alternatives using the Fuzzy AHP method to produce weights. Based on the criteria and sub-criteria in supplier selection, overall supplier A (UMKM in the Lekok District Region) was rated as the best supplier weighing 1,699, the second priority was supplier B (UMKM in the Nguling District Region) with a weight of 1,345, while supplier C (UMKM in the Region Kraton District) is the last priority with a weight of 1,098

Transportation scheduling optimization by a collaborative strategy in supply chain management with TPL using chemical reaction optimization

Optimization of supply chain management is a way of ensuring the usability of resources and related technologies at the best possible way. Transportation scheduling of vehicle and transportation nodes in supply chain management is an important factor in order to create a stable chained network by ensuring the highest amount of product distribution and lowest logistics cost. In recent years, a number of programming models like linear programming, heuristics and meta-heuristics optimization approaches are proposed by the researchers to solve this combinatorial NP-hard problem. In this paper, we have studied and analyzed the nature of transportation vehicle scheduling problem in a supply chain network with the help of third-party logistics enterprise by using a meta-heuristic algorithm called chemical reaction optimization (CRO). At first, we have classified all the transportation nodes into three distinct classifications. Then, a collaborative transportation scheduling strategy is used which is based on two significant kinds of transportation nodes. For the first two kinds of nodes, we have randomly created a large number of combined transportation routes, and the vehicle scheduling for the last standalone nodes is created by a random matrix generation. Then, we have proposed a CRO algorithm using four reaction operators with an additional repair operator to find out the best transportation routes within shortest computing time. We named our proposed algorithm as chemical reaction optimization for supply chain management (CRO-SCM). The proposed CRO-SCM algorithm is analyzed with the standard dataset from the proposed model using modified ACO-NSO algorithm which is the state of the art. In addition, a random dataset of different scales of transportation nodes is considered to evaluate the efficiency of the algorithm. Moreover, six different scales of problem sets consisting different number of nodes are adopted to analyze the performance of the proposed CRO algorithm. The simulation results demonstrate that the proposed approach is practical and efficient than existing ACO-based solutions and the experimental results are more efficient and optimal.

Study on Coffee Marketing and Farmer Organization in Pasuruan District

Complexity of coffee supply chain system encourages business actors to optimize supply chain management as an effort to increase market transparencyamong them. Consolidating in farmer organization was required to strengthen bargaining position of farmer for facing the complexity of supply chain system.The aim of this research was to analyze supply chain and marketing margin on coffee marketing; and to analyze the characteristics of coffee farmer organization.This research was conducted in Pasuruan district as one of coffee producing area in East Java. Number of respondents were 18 that consisted of 16 farmersand 2 extension officers. The respondent was determined by snowball sampling method. The data was considered a primary data and secondary data was usedas supporting data. Data were analyzed by using descriptive method and marketing margin analysis. The result showed that coffee marketing chain in Pasuruan district would lead to a relatively long and complex which was dominated by collectors. The highest profit of Arabica coffee marketing received by collectors was gained by selling green beans. On the Robusta coffee marketing, the highest profit was derived by selling fresh cherries. Farmer organizations could not be able to improve their bargaining position and market access as a result of weakness on the role and function of them.

Stochastic simulation and optimization in supply chain management

Stochastic simulation and optimization in supply chain management

Firefly Algorithm for Supply Chain Optimization

The firefly algorithm is one of the best latest bio-inspired algorithms, which proved its performance in solving continuous and discrete optimization problems. This paper presents a more detailed comparison study using a set of test functions. The main goal is the application of Firefly algorithm (FA) to solve Lot size optimization in supply chain management which is the most complex part of stock management process. A complexity that comes from the conflict between the minimization of the costs and the maximization of the level of service. For these reason, the traditional methods of lot size control have to deal with the explosion of new needs related to supply chain evolution. The optimal solutions obtained by FA are far better than the best solutions obtained by deterministic methods analyzed in the literature.

Towards an Information Technology Based Supply Chain Management System for Ghanaian Oil Marketing Companies

This study set out to propose an optimal supply chain management system for Ghanaian Oil Marketing companies. The research approach combined an inductive and deductive approach as a basis for designing the proposed system. This was based on data collected from the Oil Marketing Companies, review of literature, documents and the mode of companies› operation An optimal information technology based solution is then proposed to automate their processes for how people, activities, information, and resources are involved in moving oil products and services from supplier to consumer. A number of modular systems have been proposed, these include a Purchase Order System, GPS Fleet Tracking System, Credit Reference System and Fore Court Operations management system. It is expected that a comprehensive integration of these modules would significantly make the operations of Ghanaian oil marketing companies systems more efficient and effective.

Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management.

The under-performance of supply chains presents a significant hindrance to disease control in developing countries. Stock-outs of essential medicines lead to treatment interruption which can force changes in patient drug regimens, drive drug resistance and increase mortality. This study is one of few to quantitatively evaluate the effectiveness of supply chain policies in reducing shortages and costs. This study develops a systems dynamics simulation model of the downstream supply chain for amikacin, a second-line tuberculosis drug using 10 years of South African data. We evaluate current supply chain performance in terms of reliability, responsiveness and agility, following the widely-used Supply Chain Operation Reference framework. We simulate 141 scenarios that represent different combinations of supplier characteristics, inventory management strategies and demand forecasting methods to identify the Pareto optimal set of management policies that jointly minimize the number of shortages and total cost. Despite long supplier lead times and unpredictable demand, the amikacin supply chain is 98% reliable and agile enough to accommodate a 20% increase in demand without a shortage. However, this is accomplished by overstocking amikacin by 167%, which incurs high holding costs. The responsiveness of suppliers is low: only 57% of orders are delivered to the central provincial drug depot within one month. We identify three Pareto optimal safety stock management policies. Short supplier lead time can produce Pareto optimal outcomes even in the absence of other optimal policies. This study produces concrete, actionable guidelines to cost-effectively reduce stock-outs by implementing optimal supply chain policies. Preferentially selecting drug suppliers with short lead times accommodates unexpected changes in demand. Optimal supply chain management should be an essential component of national policy to reduce the mortality rate.

CLAUSEWITZ E A COMPLEXIDADE NO SÉCULO XXI: VISITANDO OPÇÕES PARA A LOGÍSTICA DE DEFESA NO BRASIL

This is a brief analysis with the objective of examining the Defense Logistics, in the light of the Clausewitzian Trinity, by visiting its dynamics in the international sphere and its design at the national level and, thus, highlighting the possible options to be applied in the Brazilian Defense Logistics within the framework of the 21stCentury. The study was conducted under the epistemological prism of Complexity and accommodated from a qualitative perspective. An inductive approach was chosen, supported by a method of historical and monographic procedure, combining descriptive and analytical efforts. The documentary and bibliographical research techniques were applied, collecting perspectives, later, used to substantiate the case study technique, in the examination of the complexity of the Defense Logistics in 21st Century. As a result, the influence of Clausewitz's thinking and of the complexity of the contemporary conflict scenario on Defense Logistics, both internationally and domestically, was verified. Finally, the study enabled the discussion of three latent options on Defense Logistics: the promotion of a fiscal incentive and partnership policy between the Government and the Defense Industry; the design of a strategy to reduce the bureaucracy of the procurement of defense products; and the optimization of Supply Chain Management.

Clausewitz e a complexidade no século XXI: Visitando opções para a logística de defesa no Brasil

This is a brief analysis with the objective of examining the Defense Logistics, in the light of the Clausewitzian Trinity, by visiting its dynamics in the international sphere and its design at the national level and, thus, highlighting the possible options to be applied in the Brazilian Defense Logistics within the framework of the 21stCentury. The study was conducted under the epistemological prism of Complexity and accommodated from a qualitative perspective. An inductive approach was chosen, supported by a method of historical and monographic procedure, combining descriptive and analytical efforts. The documentary and bibliographical research techniques were applied, collecting perspectives, later, used to substantiate the case study technique, in the examination of the complexity of the Defense Logistics in 21st Century. As a result, the influence of Clausewitz's thinking and of the complexity of the contemporary conflict scenario on Defense Logistics, both internationally and domestically, was verified. Finally, the study enabled the discussion of three latent options on Defense Logistics: the promotion of a fiscal incentive and partnership policy between the Government and the Defense Industry; the design of a strategy to reduce the bureaucracy of the procurement of defense products; and the optimization of Supply Chain Management.

Development of an Ecosystem Model for the Realization of Internet of Things (IoT) Services in Supply Chain Management

Information services based on the Internet of Things (IoT) help to integrate information and material flows and to optimize supply chain management (SCM). However, the design, implementation and operation of such services require strong cooperations between different types of company. Firms that are actively involved in SCM, such as logistics service providers, have to set up their own ecosystem in order to realize and run such services. Following this line of thinking, the aim of this paper is to support logistics companies with recommendations for the design of their own IoT ecosystem and the realization of IoT services. The grounded theory methodology is used to develop a theoretical IoT ecosystem model. A model with 19 different roles, their relationships and value contributions emerged during the research process. Our findings help companies to understand the implementation of IoT services, to find the right partners with which to cooperate, and to establish their own ecosystem.

Optimization in supply chain management, the current state and future directions: A systematic review and bibliometric analysis

Purpose: The purpose of this paper is finding the current state of research and identifies high-potential area for future investigation in optimization in supply chain management.Design/methodology/approach: In this paper we present Bibliometric and Network analysis to examine current state research on optimization in supply chain management to identify established and emergent research field for future investigation. The systematic research review which we used in our study have not grasp or assess by other researchers on this topic. Firstly, based on our methodology Bibliometric analysis began by identifying 1610 publications raised from scientific journals, included literatures from 1994 to March of 2016. Secondly, we applied PageRank algorithm in our data for citation analysis to indicate the significance of a publication. Thirdly, the topological decision variables analysis is done based on Louvain method for network data clustering, for this proposes we used the rigorous tools.Finding: Based on our Network analysis result, the optimization in supply chain management research can be divided into four clusters /modules that introduced fundamental skill, knowledge, theory, application and method.Research limitations/implications: We presented some limitation in our research in some fields which could allow new researchers and practitioners conduct the future research to grow up in different dimensions.Practical implications: Practitioners or policy maker usually are not familiar with these type researches so this is why mush of these survey remain in theatrical and conceptual .Future investigation needs to play in practical application domain instead stop merely in opinion. Originality/value: Based on our research, the researchers have more attention to work in conceptual analysis due to other fields but we believe that in facility location problem there many remarkable rooms still exist for future research to development. We also contributed more details in the papers.

"Supply Chain Optimization approaches and Market Demand Analysis of Petroleum Industry: A Case Study of ONGC''

Problem discussion: Supply chain management plays very important role in petroleum industry to solve many problems like long lead time, transportation problem, operational management issue, supplier selection problem and service satisfaction at the different level. In this thesis the main focus is on finding options for optimization of the supply chain management in petroleum industries. Purpose: To study supply chain management in the petroleum industry and finding options for optimizing the supply chain in the petroleum industry by literature review and investigate previous literatures. Method: In this thesis ONGC Limited (headquartered in Dehradun, India) is taken consider for the case study. Qualitative research technique is implemented in this research. Primary data is collected via cell phone by communicating with organization's employee and secondary data is taken from various research articles and books to make the theoretical frame of reference for the thesis. Scope of the study: The scope of this thesis is limited to the supply chain management optimization in the petroleum industry. Conclusion: Supply chain management Optimization is recognized as the main tool for the petroleum industries to achieve aggressive success in global competitive market. Analyzing ONGC Limited gives a realistic approach that how to optimize and manage its supply chain efficiently and effectively. The planning process, Information technology, marketing management and integrated operation management are the main strength of supply chain optimization.

A TISM Based Bionic Model of Organizational Excellence

The purpose of this paper is to identify the enablers for organizational excellence inspired by human body; based on which a generally applicable framework that establishes relationships among these enablers can be developed. In the first part of the paper, human body systems and sub-systems are analyzed from organizational perspective operating in dynamically changing environment. The examination of human body organization subsystems has revealed nine attributes that enable human body to become an optimally managed organization. The nine attributes are: quick responsiveness to external stimuli, coordination, communication, control, optimal supply chain management, adaptability, reliability, innovativeness, and self regulation. In the second part of the paper, these nine enablers are modeled using TISM. The model developed clearly demonstrates the driving and dependence of the enabler in human body organization. It is expected that the proposed model can inspire and provide insight to businesses in improving their design and function which will help in achieving organizational excellence.

Manufacturing enterprise’s logistics operational cost simulation and optimization from the perspective of inter-firm network

Purpose: By studying the case of a Changsha engineering machinery manufacturing firm, this paper aims to find out the optimization tactics to reduce enterprise’s logistics operational cost. Design/methodology/approach: This paper builds the structure model of manufacturing enterprise’s logistics operational costs from the perspective of inter-firm network and simulates the model based on system dynamics. Findings: It concludes that applying system dynamics in the research of manufacturing enterprise’s logistics cost control can better reflect the relationship of factors in the system. And the case firm can optimize the logistics costs by implement joint distribution. Research limitations/implications: This study still lacks comprehensive consideration about the variables quantities and quantitative of the control factors. In the future, we should strengthen the collection of data and information about the engineering manufacturing firms and improve the logistics operational cost model. Practical implications: This study puts forward some optimization tactics to reduce enterprise’s logistics operational cost. And it is of great significance for enterprise’s supply chain management optimization and logistics cost control. Originality/value: Differing from the existing literatures, this paper builds the structure model of manufacturing enterprise’s logistics operational costs from the perspective of inter-firm network and simulates the model based on system dynamics.

Cooperative Supply Chain Management Under Asymmetric Information

This study investigates supply chain cooperative management problem. In this study, based on principal-agent, firstly we analyses cooperative management factors in supply chain including leading enterprise expected utilities, subsidiary enterprise expected incomes and leading enterprise agency cost, then the incentive contract model is constructed; Secondly the model is solved in the case of symmetric information and asymmetric information; At last, in order to make clear of the model, this paper does mathematical analysis of leading enterprise expected utilities, subsidiary enterprise expected incomes and leading enterprise agency cost. Some important conclusions are obtained: subsidiary enterprise ability, cost coefficient, absolute risk aversion factor and output variance has the same influence on leading enterprise expected utilities and subsidiary enterprise expected incomes; subsidiary enterprise ability, cost coefficient has the same influence on leading enterprise expected utilities, subsidiary enterprise expected incomes and leading enterprise agency cost; leading enterprise expected utilities and subsidiary enterprise expected incomes become bigger and bigger, but leading enterprise agency cost becomes smaller and smaller with absolute risk aversion factor and output variance decreased. etc. Leading enterprise can take on incentive measures (improving subsidiary enterprise ability, decreasing subsidiary enterprise cost coefficient.etc) to optimize supply chain management based on the common factors.

Supply Chain Management Optimization within Information System Development

The supply chain concept has become a concern due to global competition and increasing customer demand for value because the Companies try to improve their industrial performance in terms of cost, delays, adaptability, variety and traceability. Thus, the information must be available in real time across the supply chain and this can not be achieved without an integrated software system for supply chain management. Supply chain members have to collaborate, sharing information for improving customer’s satisfaction. The purpose of this paper is to present what is the impact of the information system in performance of SCM in which a framework is based on Model Predictive Control (MPC) combined with a forecasting module was presented, so, this article is dealing with studying the relationship between information system and supply chain management (SCM) optimization. For this objective, we develop a new model based in model predictive control when is nowadays recognized as a standard methodology for the control of industrial and process systems. In addition, this article attempts to clearly describe the relation between the supply chain management and information system. The proposed framework will be determinate the efficiency of the method and the impact of forecast accuracy on overall control performance of the supply chain.

An innovation approach for achieving cost optimization in supply chain management

This paper presents a joint optimization of the supply chain network in which supplier selection, lateral transshipment, and vehicle routing are involved. Separate consideration of these decisions involved probably offers only poor-quality local optimal solutions. The contribution of this paper is to study the cost minimization of the supply chain network involving the three decisions simultaneously, using both vertical and preventive lateral transshipment, and considering both single objective and multi-objective approach with the following objectives: a minimize the total ordering cost incurred by the wholesaler, b maximize the amount of savings on the different products, and c find the best sequence for delivering various kinds of products to different retailers. A stochastic search technique called fuzzy logic guided genetic algorithms FLGA is proposed to solve the problems. In order to demonstrate the effectiveness of the FLGA, several search methods are compared with the FLGA through simulations in the single objective approach. In the multi-objective approach, two multi-objective evolutionary algorithms entitled Nondominated Sorting Genetic Algorithms 2 NSGA2 and Strength Pareto Evolutionary Algorithm 2 SPEA2 are adopted for comparison with the FLGA. Results show that the FLGA outperforms others in all three considered scenarios for both single objective and multi-objective approaches.