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Optimal vehicle route schedules in picking up and delivering cargo containers considering time windows in logistics distribution networks: A case study

Le Thi Diem Chau, Nguyen Duy Duc, Oláh Judit, Pakurár Miklós

Production Engineering Archives

2020

Vol. 26, Iss. 4

174--184

This study describes a pickup and delivery vehicle routing problem, considering time windows in reality. The problem of tractor truck routes is formulated by a mixed integer programming model. Besides this, three algorithms - a guided local search, a tabu search, and simulated annealing - are proposed as solutions. The aims of our study are to optimize the number of internal tractor trucks used, and create optimal routes in order to minimize total logistics costs, including the fixed and variable costs of an internal vehicle group and the renting cost of external vehicles. Besides, our study also evaluates both the quality of solutions and the time to find optimal solutions to select the best suitable algorithm for the real problem mentioned above. A novel mathematical model is formulated by OR tools for Python. Compared to the current solution, our results reduced total costs by 18%, increased the proportion of orders completed by internal vehicles (84%), and the proportion of orders delivered on time (100%). Our study provides a mathematical model with time constraints and large job volumes for a complex distribution network in reality. The proposed mathematical model provides effective solutions for making decisions at logistics companies. Furthermore, our study emphasizes that simulated annealing is a more suitable algorithm than the two others for this vehicle routing problem.

Trust or doubt : accuracy of determining factors for supply chain performance

Pakurár Miklós, Benedek S. A., Popp József, Magda Róbert, Oláh Judit

Polish Journal of Management Studies

2019

Vol. 19, No. 1

283--297

The aim of the research is to determine the accuracy of defining factors for supply chain performance. The most used factors in the literature are: sharing information, responding to challenges, cooperation among members, relationships, and trust. The method of the study is meta-analysis. Our results suggest that the effect of the examined factors on the performance is not complete, and the inclusion of other factors in later studies is indispensable because the results obtained indicate the presence of unknown influencing factors. The effect of the examined factors in the whole population is likely to be positive, but weak or moderate.

Celem badań jest określenie dokładności definiowania czynników dla wydajności łańcucha dostaw. Najczęściej używane czynniki w literaturze to: dzielenie się informacjami, reagowanie na zapytania, współpraca między członkami, relacje i zaufanie. Metodą badania jest metaanaliza. Rezultaty studium sugerują, że wpływ badanych czynników na wydajność nie jest kompletny, a włączenie innych czynników do późniejszych badań jest niezbędne, ponieważ uzyskane wyniki wskazują na obecność nieznanych czynników wpływających. Wpływ badanych czynników na całą populację będzie prawdopodobnie pozytywny, ale słaby lub umiarkowany.