Survey of research in the design and control of automated guided vehicle systems

http://www.upv.es/deioac/Investigacion/revision.pdf

The hybrid flow shop scheduling problem

Purpose – Managing the green (environmentally sustainable) supply chain is an important issue for industry. This paper aims to provide a framework to understand and appreciate the relationships of various research streams and topics in this field. Utilizing this framework, emergent research directions to advance the field are also presented.Design/methodology/approach – Published research in peer‐reviewed journals is evaluated using a new framework of nine non‐exclusive, interrelated boundaries and five flows of resources related to green supply chains and supply chain management.Findings – The research literature can be integrated into these comprehensive multidimensional frameworks, which also provide opportunities as vehicles for future research. Research directions are described utilizing the framework presented in this paper.Research limitations/implications – This work presents one potential set of frameworks. Insights relating to other potential frameworks are additional areas of investigation and ...

A boundaries and flows perspective of green supply chain management

Simulation for manufacturing system design and operation: Literature review and analysis

Review: Review and classification of hybrid flow shop scheduling problems from a production system and a solutions procedure perspective

Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles

A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain

In this paper we address the problem of simultaneous scheduling of machines and vehicles in flexible manufacturing systems. The studied problem is a job shop where the jobs have to be transported between the machines by automatic guided vehicles. In addition to the processing of jobs, we consider the transportation aspect as an integral part of the optimization process. To deal with this problem, we propose a new solution representation based on vehicles rather than machines. Each solution can thus be evaluated using a discrete event approach. An efficient neighbouring system is then described and implemented into three different metaheuristics: iterated local search, simulated annealing and their hybridisation. Computational results are presented for a benchmark of 40 literature instances. New upper bounds are found for 11 of them, showing the effectiveness of the presented approach.

/pdf/a-simple-metaheuristic-approach-to-the-simultaneous-4nvgghparb.pdf

Nikolay Tchernev

Papers

Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles

A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain

A simple metaheuristic approach to the simultaneous scheduling of machines and automated guided vehicles

An MILP for scheduling problems in an FMS with one vehicle

A memetic algorithm for the job-shop with time-lags