scholarly journals Supplying of Assembly Lines Using Train of Trucks

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zdeněk Čujan ◽  
Gabriel Fedorko

Abstract The typical supply system conceptions, i.e. the concepts “Just-in-time” (JIT) and “Just-in-sequence” (JIS) are very important factors with regard to a fluent operation of the assembly lines. Therefore the contemporary intra plant transport systems are being replaced by a new kind of the transportation technology, namely by means of the trains of trucks. The trains of trucks are used in two possible operational modes: either with a driver or without driver (fully automated). The trucks of the logistic trains are also cheaper and they are able to carry a larger volume and mass of the material at once. There are reduced in this way not only the investment costs, but also the operational expenses.

2020 ◽  
Vol 53 (4) ◽  
pp. 62-67
Author(s):  
Luíza Sernizon Guimarães ◽  
Carlos Andrey Maia
Keyword(s):  

2007 ◽  
Vol 40 (19) ◽  
pp. 249-254
Author(s):  
Samuel González López ◽  
Fernando Orduña Cabrera
Keyword(s):  

2015 ◽  
Vol 115 (6) ◽  
pp. 974-1003 ◽  
Author(s):  
Antonio C. Caputo ◽  
Pacifico M. Pelagagge ◽  
Paolo Salini

Purpose – The purpose of this paper is to develop an optimization model allowing the choice of parts feeding policy to assembly lines in order to minimize total cost. Design/methodology/approach – An integer linear programming mathematical model is developed to assign the optimal material feeding policy to each part type. The model allows choice between kitting, line stocking and just in time delivery policies. Findings – The choice of assembly lines feeding policy is not trivial and requires a thorough economic comparison of alternatives. It is found that a proper mix of parts feeding policies may be better that adopting a single material delivery policy for all parts. Research limitations/implications – The model is aimed at single-model assembly lines operating in a deterministic environment, but can be extended to the multi-model line case. While relevant quantitative cost drivers are included, some context-related qualitative factors are not included yet. The model assumes that information about product structure and part requirements are known and that a preliminary design of the assembly system has been carried out. Practical implications – Production managers are given a quantitative-decision tool to determine the optimal mix of material supply policies at an early decision stage. Originality/value – Respect previous simplified literature models, this approach allows to quantify a number of additional factors which are critical for successful implementation of cost-effective parts feeding systems, allowing comparison of alternative policies on a consistent basis.


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