International Journal of Supply and Operations ManagementInternational Journal of Supply and Operations Management
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Feed provided by International Journal of Supply and Operations Management. Click to visit.Optimizing the Safety Stock with Guaranteed Service Model in Reverse Logistics Considering ...
http://www.ijsom.com/article_2788_516.html
In this paper, a guaranteed service model (GSM) is considered in a general supply chain with the releasing of the service time constraint. For this purpose, a bi-objective model is developed containing minimization of both service time and the holding cost of safety stock. Also, in addition to considering the return of items from inside of the chain, the returns from outside of the chain are considered to carry out remanufacturing, refurbishing, and repairing processes. The model is solved in a real-world case of the electronic product supply chain and the Pareto solution set is obtained to show the changes in the holding cost of safety stock based on the maximum time for the different services offered to customers.Wed, 31 Jul 2019 19:30:00 +0100A Copula-based Maintenance Modeling for Parallel Systems with Non-self Announcing Failures and ...
http://www.ijsom.com/article_2795_0.html
Based on a copula function this paper addresses a maintenance scheduling problem for parallel systems whose components are dependent and their failures are detected only by inspections. To carry out preventive maintenance actions, the decision process is steered by the excursions of the state process X(t) describing the total number of failed components up to age t. Since both the maintenance costs and the level of maintenance are driven by the inspection interval τ and the preventive replacement threshold j, using the standard renewal theory arguments, the paper aims to jointly determine both optimal inspection and optimal replacement policy which truly balances two factors. The model is examined for the case when the dependence structure is modelled by the FGM copula function and the marginal lifetime distribution of components conforms to a Weibull distribution. Further, a sensitivity analysis is performed to examine some important features of the model's parameters. We will see the unified framework developed not only generalizes age replacement policy and other classic maintenance models, but also allows considerable flexibility such that different scenarios can be explored.Sun, 29 Dec 2019 20:30:00 +0100Stochastic Maximum Flow Network Interdiction with Endogenous Uncertainty
http://www.ijsom.com/article_2790_516.html
We describe the two-stage maximum flow network interdiction problem under endogenous stochastic interdiction. Our model consists of two agents playing a Stackelberg game. A smuggler who wishes to maximize the expected flow of some illegal commodities that can be transmitted between a source and a sink without being detected. On the other hand, an attacker tries to minimize the flow of drugs by installing some detectors or adding some security controls on critical arcs to increase the probability of detection. We consider a stochastic program under endogenous uncertainty in which the interdictor’s decisions can alter the probability of detection. The problem can be formulated as a bilevel program in which the attacker, having a limited budget, chooses critical arcs to install detectors and enhances the interdiction probability of those arcs. The bottom level problem is a two-stage problem to maximize the flow in the network by smugglers. A bilevel decomposition algorithm has been applied to solve the problem by adding some Benders’ cuts iteratively. We applied a successive method, to deal with non-linearity arising in the probability measure of each path. A case study of drug trafficking network is applied to recognize which countries have the most significant effect in interdicting the drug trafficking network. The police can concentrate on those areas to decrease drug flow. Our results demonstrate that if the critical arcs are chosen wisely to enhance and the probability of opium seizers decrease slightly, a significant reduction in the expected total flow of drugs can be achieved.Wed, 31 Jul 2019 19:30:00 +0100An Economic Order Quantity model for Decaying Products with the Frequency of Advertisement, ...
http://www.ijsom.com/article_2797_0.html
An inventory model is proposed with consideration of price, frequency of advertisement, continuous time and partially backlogged shortages for instantaneous decaying products. The deterioration is considered as instantaneous i.e., when the item stock in retailer’s house immediately deterioration will start with a constant rate for a certain period. If there are any shortages allowed, then it is partially backlogged. The main objective of this paper is to find the optimal cycle length (T) and the period where deterioration occurred (td) in order to minimize the total cost (TC) of the inventory system. The corresponding inventory problem constitutes a nonlinear constraint optimization problem. Here this problem is solved by using Lingo 15 software and also give a 3D graph with the help of MATLAB2017a to show the convexity of the objective function. Finally, to illustrate and validate the inventory model, a numerical example is considered with some realistic data. A sensitivity analysis is carried out to investigate the effect of changes of different inventory parameters, changing one parameter at a time and keeping the others value of parameters is same.Fri, 03 Jan 2020 20:30:00 +0100A Multi-Objectives Weighting Genetic Algorithm for Scheduling Resource-Constraint Project ...
http://www.ijsom.com/article_2791_516.html
Scarce resources may cause delay in completion of a project on time. In this research, a multi-objective decision making model is developed for scheduling multi-mode resource constraint scheduling problem in the presence of uncertain resources. The objectives are profit, execution cost and completion time. To develop this idea, a multi-objective non-linear mixed integer programming model is developed where resource availability is not deterministic and expressed by triangular probability function. In continue a multi-objective weighting genetic algorithm is proposed (MOWGA) which is flexible enough to be used in real projects. To verify the performance of the proposed method, a number of experiments are solved and results are analyzed. The outcomes, indicated that while resource uncertainty increases, higher complexity in schedules is observed. It is also found that optimizing one objective function is not necessarily resulted in optimizing the others. The MOWGA is then successfully applied for a project with real data.Wed, 31 Jul 2019 19:30:00 +0100Development of an Integrated Framework for Facility Relocation Problem: A Case Study
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The present study has developed an integrated framework for handling a facility relocation problem by combining quantitative modelling methodology with the factor rating technique. It has demonstrated the framework with reference to a real case of a corrugated box manufacturing plant. The first phase of the integrated framework involves evaluation of supply chain cost including inbound logistics cost, in-plant operations cost, and outbound logistics cost of the existing location and two other candidate locations. A mixed integer linear programming model was formulated to reflect the above problem. Sensitivity analyses were also carried out on different parameters in order to test the behaviour of the model in respect of total cost. The second phase involves evaluation of both quantitative and qualitative factors across all three locations by a team of experts on a common scale. The outcome of the first phase expressed in terms of quantitative elements of cost enabled the experts to suitably evaluate the candidate locations on cost dimension on the common scale. Finally, the composite score is computed for all three locations which aids location planners in making a realistic comparison among the three locations. Towards the end, managerial implications of the findings are discussed.Fri, 03 Jan 2020 20:30:00 +0100Towards Identification of the Hierarchical Link between Industry 4. ...
http://www.ijsom.com/article_2792_516.html
The industrial sector has historically been linked to the prosperity, development and evolution of nations, hence to the genesis of the philosophy of competitiveness, mainly at the manufacturing level. An environment is in perpetual adaptation to trends, and the best example is the change of industrial ideology, as was the case in the past. The global society is facing the same challenges. Customer demands are becoming more and more specific and personalized, which means that factories have to innovate in terms of production and management of mudas in an eco-environmental context closely followed by several global organizations. Information and communication technologies have become the joker to master in order to stay in a market that is global and very competitive. At the heart of this evolution is the emergence of the Industry 4.0 concept, which includes a key element that is intelligent production in factories of the future that can meet different obstacles. The purpose of the current research on one hand is to highlight the relation between I4.0, smart manufacturing and smart factory, and on the other hand to present a synthesis of Industry 4.0 national initiatives linked to the fourth industrial revolution worldwide.Wed, 31 Jul 2019 19:30:00 +0100Two Meta-heuristic Algorithms for a Capacitated Inventory-location Problem in Multi-echelon ...
http://www.ijsom.com/article_2799_0.html
In this study, we propose a model to minimize the inventory and location costs of a supply chain, including a production plant, warehouses and retailers. The production plant distributes a single product to retailers through warehouses. The model determines the location of warehouses, allocates retailers to the warehouses and indicates the length of order intervals at warehouses and retailers. To ensure the order quantity is lower than the warehouses’ capacity, we consider the capacity constraints. Unlike the exciting researches, we investigate the limitation on the number of established warehouses. We formulize the problem as a nonlinear mixed-integer model and propose two efficient meta-heuristic algorithms including a genetic algorithm (GA) and an evolutionary simulated annealing algorithm (ESA) to solve it. To improve the proposed algorithms, in generating populations, a new heuristic method which produces feasible solutions is designed. The Taquchi method is used for tuning the parameters of the proposed algorithms. The small size numerical examples are solved and sensitivity analysis is done to demonstrate the influential theoretical results. We evaluate the proposed algorithms by comparing the solutions of them with the optimal solution obtained by the Lingo 11. Further, we investigate the efficiency of the proposed algorithms by solving numerical examples in different sizes and depict the percentage gaps between the best solution values and the average objective values of them. Results reveal that both the GA and ESA are efficient for solving the proposed model, but the ESA outperforms the GA on the optimal solution, computing time and stability.Mon, 06 Jan 2020 20:30:00 +0100Pricing, Service and Discount Policies for Substitutable Products in a Supply Chain with the ...
http://www.ijsom.com/article_2793_516.html
This paper examines the impacts of three factors include the service, price, and discount on the supply chain’s profit. We consider a supply chain, including one traditional retailer and two manufacturers. By using the game-theoretic approach, we derive optimal solutions and analyze competition between members under two scenarios: (1) the retailer buys the products from two manufacturers without price discount contracts, i.e. no products are sold with price discount contract. (2) The retailer buys the product from one of the manufacturers with price discount contracts. We find that the price discount rate and the service level are very effective on the demand and profit of supply chain members and determining the appropriate discount rate is very important. The results show that increasing the service provided by the retailer does not necessarily increase the profit of the manufacturer and he should set an appropriate discount rate to increase his profit. Our work contributes to three aspects: (1) joint and simultaneous examination of competition in the supply chain under the three factors of price discount, price, and service level; (2) examination of competition in the supply chain where the retailer and a manufacturer provide free service to consumers; and (3) analysis and comparison of the numerical example results in the two above scenarios according to the sensitivity analysis of various parameters.Wed, 31 Jul 2019 19:30:00 +0100Ordering Logistics Management of Professional Standard Attribution of the Higher Education ...
http://www.ijsom.com/article_2796_0.html
On the basis of the conducted analysis of the current framework of the professional standards of a higher education specialist in Australia and the United Kingdom there was determined the purpose of the study to substantiate the methodological principles for streamlining the attribution of the determination of the level of professional competence of a specialist in the field of higher education with the outline of the foundation descriptors in the context of the public management of the organization of remuneration. There were interpreted the basic principles and outlined distinctive-similar features in the presented standards; there was proposed the universalized construction of the mechanism of professional standard functioning with the use of a competency-based approach, that was generalized by the addition of the own term "personal professional effect" (PPE); there was presented the essence of the proposed term PPE in the form of a mathematical formula, which generalizes the purpose and tools for its achievement.Mon, 30 Dec 2019 20:30:00 +0100Innovative Study of EPQ Model with Time Induced Demand under Decline Release Policy
http://www.ijsom.com/article_2794_516.html
In this paper production inventory (EPQ) model by means of incorporate cost diminution release strategy is considered. Production and demand both are simultaneous process in the real world Production and demand rate are considered to be time- linked. Two models (i) production inventory and (ii) manufacture inventory model in the midst of amalgamating cost decline delivery procedure are discussed. Mathematical formulations are provided to find optimal solution for both models. The objective of this study is to obtain optimal order measure to examine the outcome of lessening for cost release plan in the EPQ model. Best possible fabrication lot size model is developed that diminishes total cost. The sensitivity analysis is discussed for variation of different parameters.Wed, 31 Jul 2019 19:30:00 +0100An Integrated MC-HFLTS&MAIRCA Method and Application in Cargo Distribution Companies
http://www.ijsom.com/article_2789_516.html
Cargo transportation is part of the logistic sectors. Both service quality and customer satisfaction are very important for companies which provide cargo transportation services. This study aims to evaluate cargo companies via DMs (customers) preferences in Erzurum. Evaluating cargo companies is the multi-criteria decision making (MCDM) problem and DMs often use uncertain linguistic terms to express their assessments because DMs hesitate among different linguistic terms to provide their preferences. In this study, an integrated MC-HFLTS&MAIRCA (Multi-criteria Hesitant Fuzzy Linguistic Term Set and Multi Attribute Ideal-Real Comparative Analysis) method is used for evaluating and selecting the best cargo company. From this point of view, alternatives, criteria and DMs are defined and the integrated method is applied for the selection of the best cargo company. In order to test the results, MABAC, TOPSIS and VIKOR methods were used.Wed, 31 Jul 2019 19:30:00 +0100