Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 Material Inventory Optimization in Bakery Supply Chain: Implications for Food Security in Nigeria 683 699 2585 10.22034/2015.2.01 EN Stephen Nwanya Department of Mechanical Engineering, University of Nigeria, Nsukka, Nigeria Journal Article 2015 07 06 The study determined optimum inventory levels for various bakery resources using the bread supply chain network in Onitsha City. Structured questionnaires were administered among bakery factories. The optimum design achieved through the optimization model was compared with the existing systems. Analysis of 90 bakeries with a combined capacity of 3960 revealed that total money N 564,408,477.28 is spent on energy annually. Of this amount, 66.75% is expended annually to meet diesel requirements, while firewood and petrol account for 22.57% and 10.66%, respectively. The results of the ABC analysis show that flour ranks as class A with over 78%, followed by sugar at 13%, whilst the remainder of the ingredients constitutes 9%. High operating costs was identified as a major factor militating against the growth of the sector. Consequently, baked bread is expensive and remuneration is very poor, making the industry less attractive. The implementation of optimization practice adds value leading to savings amounting to N 6,957.51, thus enhancing the supply chain competiveness. The annual supply chain performance measured by inventory turnover shows a frequency of 73 inventory turns. Since the bakeries contribute to ensuring food security, these findings, if implemented, will assuage the rising food insecurity in the nation. Bakery Supply chain Material management Inventory optimization Food security
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 Vehicle Routing with Time Windows and Customer Selection for Perishable Goods 700 719 2570 10.22034/2015.2.02 EN Masoud Rabbani Tehran University, Tehran, Iran Mohammad-Javad Ramezankhani College of Engineering, University of Tehran, Tehran, Iran Hamed Farrokhi-Asl College of Engineering, University of Tehran, Tehran, Iran Amir Farshbaf-Geranmayeh College of Engineering, University of Tehran, Tehran, Iran Journal Article 2015 07 30 Delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. In this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several products to be delivered to customers with respect to their demands and with consideration of different soft time windows for each customer, heterogeneous distribution fleet and customer selection option for the distributer. The proposed model is solved with TH method. The two genetic algorithm and simulated annealing algorithm are used to solve large-sized problems. Finally, their results are compared to each other when the optimization software becomes unable of solution representation. Vehicle Routing Problem with Time Windows (VRPTW) Perishable Goods Multi-objective Programming Genetic Algorithm Simulated Annealing
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 Technological Implications of Supply Chain Practices in Agri-Food Sector: A Review 720 747 2584 10.22034/2015.2.03 EN Rahul Mor Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar, Punjab, India Sarbjit Singh Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar, India Arvind Bhardwaj Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar, India Lakhwinder Singh Department of Industrial & Production Engineering, National Institute of Technology, Jalandhar, India Journal Article 2015 09 29 Today, the global business environment compels enterprises to consider rest of the world in their competitive strategy analysis where firms ignore external factors such as economic trends, competitive positions or technology advancement in other countries. While going truly global with supply chain management, a company develops product in the United States, produce in India and trade in Europe, and they have changed the traditional operation management & logistical activities. This change in trade and the modernization of transport infrastructures have elevated the importance of flow management to new levels. Manufacturers and researchers have noticed many problems concerning supply chain activities, and usually either a system or subcomponent in supply chains is discussed in the literature, but they fails to answer the rational (why, what, how) behind them. This paper addresses a review of the principles, bottlenecks and strategies of supply chain practices for organizations with an emphasis on the implications of Indian agri-food sector. Findings of this review reveal that the human & environmental issues, improved product visibility, food safety/quality and the associated economic benefits in sustainable agri-food supply chains can be achieved through innovation, collaboration, elimination of uncertainties and introducing global SCM practices into green & lean initiatives. Agri-food Supply chain Sustainability Wastage
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 Supply Chain Performance Evaluation Using Data Envelopment Analysis (A case study of tile industry) 748 758 2604 10.22034/2015.2.04 EN Amir Hossein Rezaei Department of Industrial Engineering, Mazandaran University of Science & Technology, Babol, Iran Abolfazl Adressi Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran Journal Article 2015 11 11 The competition increscent urgency in the global economy causes many organizations focus more on novel management ideas in constructing, delivery services and their productions. In current conditions, supply chain and the importance of a suitable performance evaluating system in order to understand the current condition and program for its improvement, has a very special importance in creating surplus value for clients. In this research, the performance of 7 active supply chains in tile industry which have similar supply chain construction, including providers, producers, distributors and clients, by evaluating producers who perform a key role in chains and by using data envelopment analysis method are considered. According to effectiveness of inputs on outputs of organizations, outputs are considered as functions of inputs and finally the relative performance amounts of decision making units, the key companies of chain supply are computed. Supply chain Performance evaluation Efficiency Data envelopment analysis
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 EOQ Model for Delayed Deteriorating Items with Shortages and Trade Credit Policy 759 783 2548 10.22034/2015.2.05 EN R Sundararajan PSNA College of engineering Dindigu, Silvarpatti, Indial R Uthayakumar Department of Mathematics, Gandhigram Rural Institute, Deemed University, Gandhigram, Tamilnadu, India Journal Article 2015 06 14 This paper deals with a deterministic inventory model for deteriorating items under the condition of permissible delay in payments with constant demand rate is a function of time which differs from before and after deterioration for a single item. Shortages are allowed and completely backlogged which is a function of time. Under these assumptions, this paper develops a retailer's model for obtaining an optimal cycle length and ordering quantity in deteriorating items of an inventory model. Thus, our objective is retailer's cost minimization problem to find an optimal replenishment policy under various parameters. The convexity of the objective function is derived and the numerical examples are provided to support the proposed model. Sensitivity analysis of the optimal solution with respect to major parameters of the model is included and the implications are discussed. Inventory Deterioration Constant demand rate Trade credit Complete backlogging
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 A Novel Heuristic Algorithm Based on Clark and Wright Algorithm for Green Vehicle Routing Problem 784 797 2571 10.22034/2015.2.06 EN Mehdi Alinaghian Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran Zahra Kaviani Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran Siyavash Khaledan Department of Industrial Engineering at Iran University of Science and Technology, Tehran, Iran Journal Article 2015 10 12 A significant portion of Gross Domestic Production (GDP) in any country belongs to the transportation system. Transportation equipment, in the other hand, is supposed to be great consumer of oil products. Many attempts have been assigned to the vehicles to cut down Greenhouse Gas (GHG). In this paper a novel heuristic algorithm based on Clark and Wright Algorithm called Green Clark and Wright (GCW) for Vehicle Routing Problem regarding to fuel consumption is presented. The objective function is fuel consumption, drivers, and the usage of vehicles. Being compared to exact methods solutions for small-sized problems and to Differential Evolution (DE) algorithm solutions for large-scaled problems, the results show efficient performance of the proposed GCW algorithm. Microscopic Emission Models, Green Vehicle Routing Problem (GVRP) Clark and Wright Algorithm Differential Evolution (DE) Algorithm
Kharazmi University International Journal of Supply and Operations Management 23831359 2 2 2015 08 01 Multiple Criteria Decision Making Combined with VRP: A Categorized Bibliographic Study 798 820 2588 10.22034/2015.2.07 EN Yahia Zare Mehrjerdi Department of Industrial engineering, Yazd University, Yazd, Iran Journal Article 2015 06 30 In this research author reviews references related to the topic of multi criterion (goal programming, multiple objective linear and nonlinear programming, bi-criterion programming, Multi Attribute Decision Making, Compromise Programming, Surrogate Worth Trade-off Method) and various versions of vehicle routing problem (VRP), Multi depot VRP (MDVRP), VRP with time windows (VRPWTW), Stochastic VRP (SVRP), Capacitated VRP (CVRP), Fuzzy VRP (FVRP), Location VRP (LVRP), Backhauling VRP(BHVRP), Facility Location VRP (FLVRP), and Inventory control VRP (ICVRP). Although, VRP is a research area with rich research works and powerful researchers there found only 81 articles that relates various vehicle routing type problems with various multiple objectives techniques. This author found that there is no research done in some areas of VRP (i.e., FVRP, ICVRP, LRP and CVRP). It is interesting to see that this research area was completely an unattractive to master students (with zero research reported) and a somewhat attractive area to doctoral students (with 6 researches reported). Among the many multi criterion programming techniques available only three of them (goal programming, bi-criterion programming, linear and nonlinear multi objective programming) are being employed to solve the problem. Vehicle routing problem Multiple objective programming Multi Attribute Decision Making Heuristics Meta-heuristic Decision making