Showing papers in "Uncertain Supply Chain Management in 2016"

An investigation into the determinants of customer satisfaction

Abstract: Article history: Received October 20, 2015 Received in revised format April 28, 2016 Accepted May 18 2016 Available online May 2

Drivers and barriers in green supply chain management adaptation: A state-of-art review

Abstract: Article history: Received April 18, 2015 Received in revised format May 10, 2015 Accepted July 5 2015 Available online July 11 2015 Due to the emergent government regulations and stronger public awareness about environment today organizations simply cannot discard environmental concern if these companies want to stay alive in the international market. Environmental management is becoming more and more important for companies for sustainable development. If the industries of developing countries have to export to developed nations they have to match up with developed countries’ environmental standards. The emphasis on the environmental protection is not only due to organizational stakeholders but also governments, customers, employees, competitors and communities. Environmental issues in manufacturing sectors are not investigated appropriately in developing countries. The objectives of this paper are to review the literature on drivers and barriers for the implementation of Green Supply Chain Management (GSCM). After providing a background on GSCM, categories and review the literature on various issues/ factors for the recent GSCM, the concluding remarks for this review is also presented. Growing Science Ltd. All rights reserved. 6 © 201

An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology

Abstract: Article history: Received April 20, 2015 Received in revised format May 10, 2015 Accepted August 8 2015 Available online August 11 2015 The objective of this study is to develop of an inventory policy for deteriorating items, in which demand for the products is stock dependent and the retailer invests in preservation technology to reduce the rate of product deterioration. In many real-life situations, for certain types of consumer goods, the consumption rate is sometimes influenced by the stock-level. It is usually observed that a large pile of goods on a shelf in a supermarket will lead the customer to buy more and then generate higher demand. The consumption rate may go up or down with the onhand stock level. This paper is developed with the realistic conditions of demand, allowable credit period, partial backlogging and variable ordering cost. A solution procedure is given to find the optimal preservation technology cost and total cost of the system. A numerical example and sensitivity analysis are presented to illustrate the model. Growing Science Ltd. All rights reserved. 6 © 201

Vehicle routing problem with considering multi-middle depots for perishable food delivery

Abstract: Article history: Received October 20, 2015 Received in revised format February 28, 2016 Accepted March 4 2016 Available online March 6 2016 Today, distributing high quality perishable foods is one of the challenging issues in food industry. This paper introduces a deterministic vehicle routing problem model with multiple middle depots and proposes the freshness of perishable foods as a new concept to obtain optimal delivery routes. For the proposed mathematical model, profit maximization of delivering the product, minimization of the transportation costs and vehicle traveling time, and maximum level of delivered product perishability (loss of freshness) are considered. GAMS software is implemented to show the authority of the model. Furthermore, genetic algorithm (GA) has been developed to solve the model for large size instances. Several problems are tested in order to compare the exact and the GA solutions. Growing Science Ltd. All rights reserved. 6 © 201

Effect of learning and salvage worth on an inventory model for deteriorating items with inventory-dependent demand rate and partial backlogging with capability constraints

Abstract: Article history: Received March 20, 2014 Received in revised format November 18, 2015 Accepted November 18 2015 Available online November 27 2015 In this paper, an inventory model is built with inventory-dependent demand rate and twowarehouses in which demand rate is a polynomial of current inventory level. Moreover, it is typically the case in which the value of system engaged in repetitive operations decreases. Thus, the impact of learning from repetitive method cannot be unnoticed while developing the inventory model with two-level storage. Here, we tend to assume that the capability of the own warehouse, holding value of own and rented warehouse is partly constant and partly decreasing in every cycle, merit to learning impact. Impact of salvage worth is additionally thought of for the deteriorating things. Additionally, we tend to give shortages and assume that the backlogging demand rate depends on the period of the stock-out. The solution is found with the help of some numerical examples. Sensitivity analysis in relation to numerous parameters is also shown. Growing Science Ltd. All rights reserved. 6 © 201

Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach

Abstract: Article history: Received April 20, 2015 Received in revised format October 10, 2015 Accepted October 15 2015 Available online October 16 2015 Manufacturing industries are consistently working on improving their operational performance to remain competitive in the market. LM is a well-recognized approach for improving the overall performance. It contains several elements covered under a few lean attributes. This paper presents the application of Graph Theory and Matrix Approach (GTMA) for the identification of relative importance of different lean attributes in a lean environment using qualitative and quantitative factors. The Lean Manufacturing Attributes (LMA’s), affecting the overall LM environment, of a manufacturing industry were identified and analyzed for the implications on the managerial decisions. .In this proposed study, The GTMA approach is applied to prioritize the LMA’s based on their relative importance. Growing Science Ltd. All rights reserved. 6 © 201

Solving a fuzzy multi-objective products and time planning using hybrid meta-heuristic algorithm: Gas refinery case study

Abstract: Article history: Received March 20, 2014 Received in revised format November 18, 2015 Accepted December 18 2015 Available online December 19 2015 Planning is one of the most important components of gas industry production. Most big gas companies usually look for effective planning approaches to accomplish the organizational objectives including cost and time reduction as well as enhancing quality and efficiency. For planning gas refinery production, important parameters including production time, production volume, production cost and storage need to be considered. Planning different units ought to be integrated and coordinated with other departments. This article presents an intensive arithmetic model to determine the production of gas derivatives. The proposed model of this paper is formulated as a mixed integer programming and the resulted problem is solved using NSGA-II algorithm and a hybrid method called BBO/NSGA-II. The problem is also applied for a real-world case study and the results are discussed. Growing Science Ltd. All rights reserved. 6 © 201

Optimal pricing and ordering policy for deteriorating items with price and stock dependent demand and partial backlogging

Abstract: A B S T R A C T This study deals with an economic order quantity model to find out the optimal selling price and optimal ordering quantity for the products which deteriorates over time. The demand for the products depends on available stock level and selling price of the products. The shortages are allowed, and it is assumed that the occurring shortages are partially backlogged. Depending on the rate of backlogging two models are presented in this study. The first model assumes a constant rate of backlogging, while in second model the backlogging rate is assumed to be dependent on waiting time. Numerical example and sensitivity analysis are presented to illustrate the results of the proposed model.

Analysis of significant lean manufacturing elements through application of interpretive structural modeling approach in Indian industry

Abstract: Article history: Received April 18, 2015 Received in revised format May 10, 2015 Accepted June 25 2015 Available online July 3 2015 Lean Manufacturing is being adopted by many Indian industries based on its capability of improving manufacturing performance. Lean Manufacturing supports the concept of delivering the low cost and good quality product to customer by focusing on elimination of waste. Lean Manufacturing employs various elements which aspire to involve the employees to create a customer centric organization. This paper is an attempt to examine the significance of various lean manufacturing elements in Indian industries. Interpretive Structural Modeling (ISM) approach is used to examine their inter-relationship and ranking based on their driving power and dependence powers through development of diagraph and structural model in the Indian industry context. Growing Science Ltd. All rights reserved. 6 © 201

A P-robust model in humanitarian logistics in a non-neutral political environment

Abstract: Article history: Received October 20, 2015 Received in revised format April 28, 2016 Accepted May 28 2016 Available online May 28 2016 Humanitarian assistance by foreign organizations in general and foreign military forces in particular, is typically provided in a non-neutral political environment. Local politics that range from national pride, through strained relations with the country offering military logistic support, to blatant aversion to the population in need, affect the ability to provide effective humanitarian aid. The current paper presents the use of mathematical modeling and robustness approach when the government of the affected area declines offers of aid from international organizations because of political constraints. The multi-objective model seeks to minimize unsatisfied demands and total costs of the government and suppliers. To explore the effects of various parameters and show managerial insights that can guide DMs under a variety of conditions, the sensitivity analysis of the experiments are presented. Growing Science Ltd. All rights reserved. 6 © 201

A multi criteria decision-making model for selecting hub port for Iranian marine industry

Abstract: Article history: Received October 20, 2015 Received in revised format January 4, 2016 Accepted February 1

Benchmarking using an index for bullwhip effect mitigation

Abstract: Article history: Received April 20, 2015 Received in revised format October 10, 2015 Accepted October 15 2015 Available online October 16 2015 Bullwhip effect is one of the serious problems caused by uncertainty in supply chain management. Graph theoretical approach has been utilized by some of the authors towards evaluation of various phenomena performance. This paper has been an attempt to develop bullwhip effect mitigation index (BWEMI), which is a single numerical benchmarking index utilizing graph theory and matrix (GTM) method. Review of literature and subsequent discussions with experts to obtain their valuable opinions regarding managing supply chains have been utilized to complement and supplement the variables. Digraph theory has been used to develop various matrices showing interactions among bullwhip effect mitigation factors. The tool so developed may help supply chain managers to analyze and quantify efforts towards bullwhip effect mitigation. Growing Science Ltd. All rights reserved. 6 © 201

A new application of clustering for segmentation of banks' e-payment services based on profitability

Abstract: dAbrar Institute of higher education, Damavand, Tehran, Iran C H R O N I C L E A B S T R A C T

Economic production quantity model for defective items under deterioration

Abstract: Article history: Received October 20, 2015 Received in revised format January 4, 2016 Accepted January 15 2016 Available online January 15 2016 Traditional economic production quantity (EPQ) model assumes that the production products are perfect. However, this assumption does not hold for many real production systems due to several weaknesses. This paper considers production inventory model with defective items for deteriorating items. In this paper, production rate is considered to be greater than demand rate. Mathematical model is developed for finding optimal order quantity, cycle time and total profit. Moreover, a numerical example is provided to illustrate the proposed model. Next, sensitivity analysis is established to demonstrate the model developed. Finally, some conclusions and future research directions are proposed. Growing Science Ltd. All rights reserved. 6 © 201

Selection of buyback price for OEM for efficient spare parts management in remanufacturing business

Abstract: Article history: Received March 20, 2014 Received in revised format November 18, 2015 Accepted December 18 2015 Available online December 19 2015 Authors developed a two-period buyback pricing model which shows a competition between independent repair shop, third party remanufacturer (TPR) and original equipment manufacturer (OEM) for market share in spare parts business after the end of warranty period. Remanufacturing is a profitable option for OEM rather than producing new parts after finishing the warranty period for satisfying the demand of spare parts. OEM acquires damaged/broken parts from local independent repair shop to remanufacture those parts. But if there existed any Third Party Remanufacturer (TPR) then it would lead competition and would decrease the market share of OEM in sales of spare parts. TPR is basically independent remanufacturer. OEM has no control over the activity of the TPR for selling remanufactured spare parts after finishing warranty period of the products. In this paper, authors considered a supply chain model, where independent repair shop is responsible for handling the repair process and both OEM and TPR are remanufacturing spare parts. Repair shop may procure spare parts from both OEM and TPR. A discount is given on the price of the spare parts by TPR which attracts the customers. Repair shop also tries to sell repaired parts at an attractive discounted price. Both TPR and OEM need to collect broken/damaged parts to remanufacture them for maintaining an inventory of spare parts. This paper aimed to develop a deterministic framework for finding optimal buyback price for the OEM and the impact of different parameters on the profitability of spare parts management for individual players of supply chain management. rowing Science Ltd. All rights reserved. G 6 © 201

The effect of customer segmentation factors on export performance of SMEs

Abstract: Article history: Received April 18, 2015 Received in revised format May 10, 2015 Accepted July 5 2015 Available online July 11 2015 Export plays an essential role for boosting the economy of developing countries. On the other hand, Small and Medium Enterprises (SMEs) are important part of any economy. Therefore, it is important to determine the effects of various factors influencing on development of export activities. This paper presents an empirical investigation to study the effects of customer segmentation factors on the performance of export activities of SMEs in Iranian food industry. The study selects a sample of 227 people who were involved in development of SMEs in city of Tehran, Iran. The study designs a questionnaire in Likert scale consists of 34 questions, Cronbach alpha and KMO are equal to 0.809 and 0.764, respectively, which are well above the desirable levels. Using principal component analysis, the study has determined that different factors including competitive structure, organizational strategy, customer’s studies and organizational factors influencing the most on promoting export activities. Growing Science Ltd. All rights reserved. 6 © 201

Effect of customer demand information sharing on a four-stage serial supply chain performance: an experimental study

Abstract: Article history: Received April 20, 2015 Received in revised format June 10, 2015 Accepted September 31 2015 Available online October 7 2015 Customer Demand Information (CDI) sharing plays a vital role in reducing the bullwhip effect as well as in improving the performance of a supply chain. The objective of the present research is to identify the best form of CDI sharing experimentally for a four-stage serial supply chain under lost sales business environment. A supply chain role play game software package is developed for conducting suitable experiments. Different forms of CDI sharing tested in this research are periodic CDI, history of CDI and CDI in the form of distribution. It is found that all forms of CDI sharing have significant impact on the reduction of bullwhip effect compared to non-sharing of information and the upstream stages in the supply chain are benefited the most under CDI sharing. The statistical analysis also confirms that sharing CDI in the form of distribution is the most effective among the various forms of information sharing studied. The percentage reductions in magnitude of order variance under the most benefitted information sharing at distributor and factory stages are 64.43 and 66.04, respectively. It is also found that the performance of a supply chain depends on the degree of customer demand information shared among the stages in the supply chain. Growing Science Ltd. All rights reserved. 6 © 201

Decision support systems: Detecting factors influencing on export activities

Abstract: Article history: Received April 20, 2015 Received in revised format May 10, 2015 Accepted July 2

Two-warehouse optimized inventory model for time dependent decaying items with ramp type demand rate under inflation

Abstract: Article history: Received October 20, 2015 Received in revised format March 28, 2016 Accepted April 4 2016 Available online April 7 2016 This paper deals with developing an inventory model for two warehouses. In today’s business era, there are various types of conditions such as discounts, bulk storage and seasonal products forcing the buyer to purchase the order more than owned warehouse capacity. To store the excess unit of purchase order, buyer arrange additional storage space called as rented warehouse. It is known that the demand of the seasonal products (as woolen garments) increases at the beginning of the season up to a certain time and then stabilizes to a constant rate for the remaining time of the season. The ramp type demand rate forces the buyer to store a higher quantity of the product at the beginning of the season. Most of the physical goods undergo decay or deterioration over time so we study deteriorating seasonal products in this paper. This two warehouse inventory model is developed with inflation and shortages. The model starts with rent warehouse, in first rent warehouse’s inventory level is depleted due to demand and deterioration. At this time own warehouse is depleted due to deterioration only. But after that the inventory level of owned warehouse is depleted due to both demand and deterioration. The shortages are considered in owned warehouse, which is partially backlogged. Numerical solution of the model is obtained to verify the optimal solution. Comprehensive sensitivity analysis has been carried out for showing the effect of variations in the parameters. The model is solved analytically by minimizing the total cost. Growing Science Ltd. All rights reserved. 6 © 201

A location-routing model on relief distribution centers

Abstract: Article history: Received October 20, 2015 Received in revised format April 28, 2016 Accepted May 5 2016 Available online May 8 2016 There have been many unexpected natural disasters such as earthquake, flood, etc. in developing countries, which have created catastrophic incidents and we need to do appropriate planning for relief to reduce the possible casualties. Such actions normally face different challenges such as damages on transportation infrastructures including roads, bridges, etc. One of the primary actions for such crises management is associated with facility location for relief distribution centers. This paper presents a multi-objective mathematical problem and applies it for a real-world case study in northern region of Iran. The study uses Lp metric to handle different objectives and fuzzy programming is used to cope with uncertainty. The preliminary results indicate that the proposed study of this paper has been able to provide efficient results. Growing Science Ltd. All rights reserved. 6 © 201

A two-warehouse production inventory model with trade credit under reliability consideration

Abstract: Article history: Received October 20, 2015 Received in revised format February 28, 2016 Accepted March 15 2016 Available online March 18 2016 A two warehouse production inventory model is developed for deteriorating items under reliability consideration. The effect of trade credit is considered under inflation. Since, formulating a suitable inventory model is one of the major concerns for an industry, the main objective of this paper is to optimize the total related cost for reliable production process. The model is illustrated through numerical example. The sensitivity analyses of the cost function are performed due to different measures and some managerial inferences are presented. Growing Science Ltd. All rights reserved. 6 © 201

Minimizing the bullwhip effect in a single product multistage supply chain using genetic algorithm

Abstract: Article history: Received March 20, 2014 Received in revised format November 18, 2015 Accepted November 18 2015 Available online November 18 2015 Supply chain management is important for companies and organizations to improve their business and lead competitiveness in the global marketplace. But demand variations in the supply chain are significant problem for most practitioners, planners, demand managers, and operations managers. Demand variations make forecasting and inventory management more difficult and tend to increase inventory levels. The supply chain (SC) profitability can be affected by the cost associated with large inventories, transportation, and production due to the bullwhip effect. Only bullwhip effect can lead to reduce the supply chain profitability in great amount. This paper represents a computational intelligence approach, which addresses the bullwhip effect in multistage supply chain. As a computational intelligence approach, Genetic Algorithm (GA) is employed to reduce the bullwhip effect. Through this approach, optimal order quantity in each stage is to be calculated by considering cost associated with bullwhip effect. Distorted information from one end of a supply chain can lead to tremendous inefficiencies to other end. In this paper it is shown that if each player of the supply chain orders or transfers optimum quantities for the upcoming period then the bullwhip effect can be reduced significantly. Growing Science Ltd. All rights reserved. 6 © 201

Production, technology and capacity planning for textile industry: A case study

Abstract: Article history: Received October 20, 2015 Received in revised format March 28, 2016 Accepted April 27 2016 Available online April 28 2016 This paper presents a mathematical model to choose appropriate technology for production and capacity planning. The proposed study considers manufacturing planning in textile industry as a make-to-order (MTO) system by managing employees and water consumption and the possibility of outsourcing. The resulted model has been formulated as a mixed integer programming problem, which can be solved using a commercial software package. The implementation of the proposed study has been considered for a real-world case study and the results are discussed. Growing Science Ltd. All rights reserved. 6 © 201

Factors influencing business activities for export development

Abstract: Article history: Received April 20, 2015 Received in revised format June 10, 2015 Accepted August 2

Comments on “Vendor managed inventory with consignment stock agreement for a supply chain with defective items”

Abstract: Article history: Received June 2, 2016 Received in revised format June 12, 2016 Accepted June 12 2016 Available online June 13 2016 The purpose of these comments is to serve as a revision to the article by Khan et al. (2016) [Khan, M., Jaber, M.Y., Zanoni, S., & Zavanella, L. (2016). Vendor managed inventory with consignment stock agreement for a supply chain with defective items. Applied Mathematical Modelling, 40(15–16), 7102–7114.]. This commenting paper suggests that the expected total cost function derived in Khan et al. (2016) was incorrect, and then offers revisions to complement the shortcomings. Growing Science Ltd. All rights reserved. 6 © 201

Supply chain model with multi distributer and multi retailer with partial backlogging

Abstract: Article history: Received October 20, 2015 Received in revised format January 4, 2016 Accepted January 15 2016 Available online January 19 2016 This paper deals with the co-ordination of a single producer, multi distributors and multi retailers for a supply chain management to get the maximum profit at minimum investment when shortages is permitted at the retailer‘s end and they are the partially backlogged. Most previous studies on supply chain have dealt with a moderately simpler chain with a single producer and a single buyer. The requirement of the producer is directly proportional to demand of the distributor, while the demand of the distributor is dependent on retailers’ requirement. This passes on rationally to the whole supply chain. The proposed model of this paper considers deteriorating items where the deterioration rate is considered as constant. Growing Science Ltd. All rights reserved. 6 © 201

Identification and ranking the factors influencing the performance of the incentive policies of free trade zones

Abstract: Article history: Received April 20, 2015 Received in revised format May 10, 2015 Accepted July 2

A supply chain model with shortages under inflationary environment

Abstract: Article history: Received October 20, 2015 Received in revised format February 28, 2016 Accepted March 4 2016 Available online March 6 2016 This paper formulates a multi-level supply chain network with a single producer, multi distributors and multi retailers during a finite planning horizon. The demand rate is assumed to be exponential function of time; shortages are allowed and completely backlogged. The stock is assumed to undergo deterioration as soon as it is produced. The production rate is dependent on demand rate and greater than the demand rate. Optimal solution for the proposed model is derived and using a numerical example, the behavior of the model is analyzed. Growing Science Ltd. All rights reserved. 6 © 201