International Journal of Business Performance and Supply Chain Modelling http://www.inderscience.com/browse/index.php?journalID=341&year=2012&vol=4&issue=1 Inderscience Publishers Ltd en-uk International Journal of Business Performance and Supply Chain Modelling 1758-9401 1758-941X © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijbpscm_scoverijbpscm.jpg http://www.inderscience.com/browse/index.php?journalID=341&year=2012&vol=4&issue=1 http://www.inderscience.com/link.php?id=44971 We formulate an integrated model of a three-stage multi-firm supply chain based on an integer multiplier at each stage, lot streaming allowed for all suppliers and manufacturers, and complete backordering allowed for some/all retailers. Then we derive the optimal solution to the integrated model using the methods of complete squares and perfect squares. These are simple algebraic approaches so that ordinary readers unfamiliar with differential calculus can understand the optimal solution procedure with ease. For our model, we also need check that the optimal solution, which is algebraically derived, is a global one. We solve a numerical example to illustrate the procedure. We finally deduce Ben-Daya and Al-Nassar's (2008) models and remark on extending to a higher stage multi-firm supply chain from the integrated model. An integrated production-inventory system with lot streaming and complete backordering in a three-stage multi-firm supply chain solved algebraically
Kit Nam Francis Leung
International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 1 - 15
We formulate an integrated model of a three-stage multi-firm supply chain based on an integer multiplier at each stage, lot streaming allowed for all suppliers and manufacturers, and complete backordering allowed for some/all retailers. Then we derive the optimal solution to the integrated model using the methods of complete squares and perfect squares. These are simple algebraic approaches so that ordinary readers unfamiliar with differential calculus can understand the optimal solution procedure with ease. For our model, we also need check that the optimal solution, which is algebraically derived, is a global one. We solve a numerical example to illustrate the procedure. We finally deduce Ben-Daya and Al-Nassar's (2008) models and remark on extending to a higher stage multi-firm supply chain from the integrated model.

]]> 10.1504/IJBPSCM.2012.044971 International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 1 - 15 Kit Nam Francis Leung Department of Management Sciences, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong inventory production complete squares perfect squares lot streaming backordering three-stage supply chains supply chain management SCM integrated models. 2012-01-16T23:20:50-05:00 4 1 1 15 2012-01-16T23:20:50-05:00 http://www.inderscience.com/link.php?id=44972 This paper considers the modelling challenge when we want to integrate both processes/activities approach and resources, i.e., an organisational point of view coupled with the physical plan that it uses. Processes and activities are performance driven and resources are capacity-limited and subject to stochastic events. The model uses queuing Petri nets and synchronised stochastic Petri nets formalisms and enables performance queuing measures depending on resources configurations. A manufacturing textile unit is presented as example and simulation results are discussed concerning the modelling interest. Queuing Petri net modelling and simulation of logistic activities for operational decisions
Patrick Lallement; Arezki Aït-Seddik
International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 16 - 39
This paper considers the modelling challenge when we want to integrate both processes/activities approach and resources, i.e., an organisational point of view coupled with the physical plan that it uses. Processes and activities are performance driven and resources are capacity-limited and subject to stochastic events. The model uses queuing Petri nets and synchronised stochastic Petri nets formalisms and enables performance queuing measures depending on resources configurations. A manufacturing textile unit is presented as example and simulation results are discussed concerning the modelling interest.

]]> 10.1504/IJBPSCM.2012.044972 International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 16 - 39 Patrick Lallement; Arezki Aït-Seddik Charles Delaunay Institute, University of Technology of Troyes, 12 rue Marie Curie, 10010 Troyes Cedex, France. ' University Toulouse II, Le Mirail, 5 Allées Antonio Machado, 31058 Cedex 9, France queuing Petri nets QPNs supply chain management SCM supply chain modelling operational decisions capacity planning simulation logistics stochastic Petri nets textile industry. 2012-01-16T23:20:50-05:00 4 1 16 39 2012-01-16T23:20:50-05:00 http://www.inderscience.com/link.php?id=44973 Determination of frequency is one of the important elements of bus transit system design. In the past, the researchers have used the average passenger demand and average travel time (deterministic data) as input in their models to find the frequency of buses in a selected route. In practice, the arrival of passengers at the stages and travelling time between stages is stochastic in nature. So, the frequency determination under deterministic conditions may not yield good results. In this paper, the stochastic nature of passenger arrival at the stages and travelling time between stages is considered. A simulation model is built using ARENA version 12, a discrete simulation software package to arrive at the solution. The best frequency is determined for the selected route so as to minimise the total cost comprising the waiting time cost of the passengers and operating cost of the buses with single and multiple headways. The model has been applied to one of the bus routes in Chennai City (a metropolitan city in India). Simulation model to determine frequency of a single bus route with single and multiple headways
R. Baskaran; K. Krishnaiah
International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 40 - 59
Determination of frequency is one of the important elements of bus transit system design. In the past, the researchers have used the average passenger demand and average travel time (deterministic data) as input in their models to find the frequency of buses in a selected route. In practice, the arrival of passengers at the stages and travelling time between stages is stochastic in nature. So, the frequency determination under deterministic conditions may not yield good results. In this paper, the stochastic nature of passenger arrival at the stages and travelling time between stages is considered. A simulation model is built using ARENA version 12, a discrete simulation software package to arrive at the solution. The best frequency is determined for the selected route so as to minimise the total cost comprising the waiting time cost of the passengers and operating cost of the buses with single and multiple headways. The model has been applied to one of the bus routes in Chennai City (a metropolitan city in India).

]]> 10.1504/IJBPSCM.2012.044973 International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 40 - 59 R. Baskaran; K. Krishnaiah Department of Industrial Engineering, Anna University Chennai, Chennai – 600 025, India. ' Department of Industrial Engineering, Anna University Chennai, Chennai – 600 025, India modelling single bus routes single headways multiple headways frequency waiting costs operating costs simulation bus transit systems system design passenger arrivals travelling time India. 2012-01-16T23:20:50-05:00 4 1 40 59 2012-01-16T23:20:50-05:00 http://www.inderscience.com/link.php?id=44974 Supplier performance evaluation in buyer-supplier relationships from the buyer perspective is an important research issue among researchers and practitioners. Many studies have been conducted to measure the buyer's satisfaction with the supplier's performance in buyer-supplier relationships. However, very few studies present in the literature that deal with measurement of suppliers' satisfaction in buyer-supplier relationships. The purpose of this study is to identify the factors that affect the suppliers' satisfaction in buyer-supplier relationships and explore their relationships with suppliers' satisfaction. A questionnaire survey was conducted among 300 suppliers organisation. Based on the influencing factors, four hypotheses were developed and tested in the framework of structural equation modelling. Measuring satisfaction in buyer-supplier relationship from suppliers perspective
Purushottam L. Meena; S.P. Sarmah; Santanu Sinha
International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 60 - 74
Supplier performance evaluation in buyer-supplier relationships from the buyer perspective is an important research issue among researchers and practitioners. Many studies have been conducted to measure the buyer's satisfaction with the supplier's performance in buyer-supplier relationships. However, very few studies present in the literature that deal with measurement of suppliers' satisfaction in buyer-supplier relationships. The purpose of this study is to identify the factors that affect the suppliers' satisfaction in buyer-supplier relationships and explore their relationships with suppliers' satisfaction. A questionnaire survey was conducted among 300 suppliers organisation. Based on the influencing factors, four hypotheses were developed and tested in the framework of structural equation modelling.

]]> 10.1504/IJBPSCM.2012.044974 International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 60 - 74 Purushottam L. Meena; S.P. Sarmah; Santanu Sinha Department of Industrial Engineering and Management, IIT Kharagpur, West Bengal – 721 302, India. ' Department of Industrial Engineering and Management, IIT Kharagpur, West Bengal – 721 302, India. ' Decision Sciences and Algorithms Lab, Tata Consultancy Services, Mumbai – 400 093, Maharashtra, India supplier satisfaction buyer-supplier relationship supply chain management SCM structural equation modelling satisfaction measurement performance evaluation. 2012-01-16T23:20:50-05:00 4 1 60 74 2012-01-16T23:20:50-05:00 http://www.inderscience.com/link.php?id=44975 In this paper, we discuss a solution approach combining inventory routing and game theory to optimise logistical costs in a real-life distribution system. The problem consists in developing a distribution plan to replenish inventory at each of the involved sales-points, and then clustering them in groups willing to cooperate and share parts of their stocks. The distribution strategy and clustering should be achieved in a way that minimises total distribution and inventory costs of the system. Clearly, cooperation inside each cluster increases the extra potential inventory to which each member of the cluster has access, without having to support the related cost. As a result, the service level that each of these sales-point may achieve would increase. This approach is implemented for a real-life supply chain. A part of obtained results are reported and discussed in the paper. A combined inventory routing and game theory approach to solve a real-life distribution problem
Manuel Mateo; El-Houssaine Aghezzaf; Pau Vinyes
International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 75 - 89
In this paper, we discuss a solution approach combining inventory routing and game theory to optimise logistical costs in a real-life distribution system. The problem consists in developing a distribution plan to replenish inventory at each of the involved sales-points, and then clustering them in groups willing to cooperate and share parts of their stocks. The distribution strategy and clustering should be achieved in a way that minimises total distribution and inventory costs of the system. Clearly, cooperation inside each cluster increases the extra potential inventory to which each member of the cluster has access, without having to support the related cost. As a result, the service level that each of these sales-point may achieve would increase. This approach is implemented for a real-life supply chain. A part of obtained results are reported and discussed in the paper.

]]> 10.1504/IJBPSCM.2012.044975 International Journal of Business Performance and Supply Chain Modelling, Vol. 4, No. 1 (2012) pp. 75 - 89 Manuel Mateo; El-Houssaine Aghezzaf; Pau Vinyes Universitat Politècnica de Catalunya (UPC), Avda. Diagonal 647, p7, 08028 Barcelona, Spain. ' Department of Industrial Management (EA18), Faculty of Engineering, Ghent University, UGent, Technologiepark 903, Zwijnaarde 9052, Belgium. ' Universitat Politècnica de Catalunya (UPC), Avda. Diagonal 647, p7, 08028 Barcelona, Spain inventory routing game theory case study logistics costs distribution planning clustering supply chain cooperation supply chain management SCM. 2012-01-16T23:20:50-05:00 4 1 75 89 2012-01-16T23:20:50-05:00