Managing the supply chain with standard mixed loadsMartijn F. Teulings; Piet van der Vlist
2001 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600030110389442
Describes the complementary standard mixed loads concept (the standard mix concept in short), which allows for assembling mixed loads at an upstream echelon. These standard mixed loads are assigned to customer orders at an echelon downstream of the chain. Describes two applications of the use of the standard mix concept in order to identify up-front the logistic advantages, both in inventory reduction and in handling reduction. Presents the basic principles of the concept and offers some mathematical modelling. Describes the effects on the inventory at the various points of the supply chain, and presents some simulation results. Concludes that the concept offers new perspectives for supply chain management and intermodal transport.
Motivational profiling of logistics Master’s students in Great BritainJohn Dinwoodie
2001 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600030110389488
Ponders the elemental role of professionally skilled logisticians on sustained corporate success in global supply chain networks and the obligation of human resources managers and academics to advance professional competence. Considers the perceived importance of enhanced knowledge and employment prospects in motivating logistics Master's students in Great Britain. Investigates the appeal of Master's qualifications to enrolled and latent logisticians at several British universities and reports a statistical discriminant analysis of previously unknown groupings of motivations for undertaking study. Contrasts the basic motivations of domestic students with the combined basic and academic motivations of non-British Europeans and the concerns of non-European students for reputation and teaching quality. Relates the discriminating power of the importance of study abroad and a practical course and the perceived influences of study in English, a relevant academic system, and teaching methods. Explores the implications of the findings for course planning and marketing, professional development and further research.
Using simulated annealing to solve the p‐Hub Median ProblemSue Abdinnour‐Helm
2001 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/09600030110389532
Locating hub facilities is important in different types of transportation and communication networks. The p‐Hub Median Problem (p‐HMP) addresses a class of hub location problems in which all hubs are interconnected and each non‐hub node is assigned to a single hub. The hubs are uncapacitated, and their number p is initially determined. Introduces an Artificial Intelligence (AI) heuristic called simulated annealing to solve the p‐HMP. The results are compared against another AI heuristic, namely Tabu Search, and against two other non‐AI heuristics. A real world data set of airline passenger flow in the USA, and randomly generated data sets are used for computational testing. The results confirm that AI heuristic approaches to the p‐HMP outperform non‐AI heuristic approaches on solution quality.