Quite often transportation companies face two types of jobs, ones which they can plan themselves and ones which have to be done on call. In this paper we study the scheduling of these jobs, while we assume that job durations are known beforehand as well as windows in which the jobs need to be done. We develop several heuristics to solve the problem at hand. The most successful are based on defining an appropriate buffer. The methods are assessed in extensive experiments on two aspects, viz. efficiency, in the sense that they carry out many jobs and certainty, in the sense that they provide information beforehand about which jobs they will execute.T57.79;distribution problems;stochastic scheduling
This article considers a stochastic vehicle routing problem with probability constraints. The probab...
Abstract. We show how to evaluate the performance of solutions to finite-horizon scheduling problems...
Incomplete information is a major challenge when translating combinatorial optimization results to r...
textabstractQuite often transportation companies face two types of jobs, ones which they can plan th...
212433256PDFTech Reporthttp://digitalarchive.oclc.org/request?id%3Doclcnum%3A21243325642897Californi...
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
Proactive approaches to scheduling take into account information about the execution time uncertaint...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
<p>Transit agencies use reserve drivers to cover open work that arises from planned and unplanned ti...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
This paper studies the stochastic service task scheduling and vehicle routing problem for a telecomm...
International audienceThis paper deals with the staffing and scheduling problem in call centers. We ...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
Two heuristic algorithms are proposed for a practical but relatively under-studied vehicle routing s...
This article considers a stochastic vehicle routing problem with probability constraints. The probab...
Abstract. We show how to evaluate the performance of solutions to finite-horizon scheduling problems...
Incomplete information is a major challenge when translating combinatorial optimization results to r...
textabstractQuite often transportation companies face two types of jobs, ones which they can plan th...
212433256PDFTech Reporthttp://digitalarchive.oclc.org/request?id%3Doclcnum%3A21243325642897Californi...
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
Proactive approaches to scheduling take into account information about the execution time uncertaint...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
<p>Transit agencies use reserve drivers to cover open work that arises from planned and unplanned ti...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
This paper studies the stochastic service task scheduling and vehicle routing problem for a telecomm...
International audienceThis paper deals with the staffing and scheduling problem in call centers. We ...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
Two heuristic algorithms are proposed for a practical but relatively under-studied vehicle routing s...
This article considers a stochastic vehicle routing problem with probability constraints. The probab...
Abstract. We show how to evaluate the performance of solutions to finite-horizon scheduling problems...
Incomplete information is a major challenge when translating combinatorial optimization results to r...