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A. Portioli

Researcher at Polytechnic University of Milan

Publications -  7
Citations -  397

A. Portioli is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Job shop & Decision support system. The author has an hindex of 6, co-authored 7 publications receiving 384 citations.

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Order review and release strategies ina job shop environment: A review and a classification

TL;DR: In this paper, a review and a classification framework of the main research work carried out to date is introduced. And the classification of selected models from the specialised literature by means of the proposed framework provides a better understanding for the practitioners and, on the other hand, aims to indicate to researchers the most promising research paths.
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The impact of parameters setting in load oriented manufacturing control

TL;DR: This paper presents experimental results about the effects of different values for both the planning period and the check period of Bechte's Load Oriented Manufacturing Control (LOMC).
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Comparison of Order Review and Release techniques in a dynamic and uncertain job shop environment

TL;DR: In this article, a new methodological pattern is proposed to assess the effectiveness of ORR techniques in a job shop environment, where the ORR models are compared by changing their features one at a time, instead of comparing completely different ORR methods.
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A new dynamic look-ahead scheduling procedure for batching machines

TL;DR: A new procedure for scheduling several products on parallel batching machines, motivated by shop floor control in semiconductor manufacturing, has been developed and tested by means of a simulation model of a re-entrant flow-manufacturing environment, which allows multiple loops along the job routings.
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An enhanced loading model for the probabilistic workload control under workload imbalance

TL;DR: In this paper, the use of load limit is shown to be inappropriate for the smoothing of workloads when the workload is not sufficiently balanced, and the authors propose to enhance the load-oriented manufacturing control (LOMC) model by introducing two sets of parameters: (i) limiting parameters (LPs), that are statical parameters of the workcentres, set by the shop managers LPs are used to limit the workload released to the shop; (ii) smoothing parameters (SPs) that are dynamical parameters computed as a function of their real workload SPs