Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.
The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed.
We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials.
Letters to the Editor-in-Chief are highly encouraged.
The problem of sequencing jobs on a single machine to minimize total cost (earliness and
tardiness) is nowadays not just important due to traditional concerns but also due to its
importance in the context of Collaborative Networked Organizations and Virtual Enterprises,
where precision about promptly responses to customers’ requests, along with other
important requirements, assume a crucial role. In order to provide a contribution in this
direction, in this paper the authors contribute with an applied constructive heuristics that
tries to find appropriate solutions for single machine scheduling problems under different
processing times and due dates, and without preemption allowed. In this paper, two different
approaches for single-machine scheduling problems, based on external and internal
performance measures are applied to the problem and a comparative analysis is performed.
Computational results are presented for the problem under Just-in-Time and agile conditions
on which each job has a due date, and the objective is to minimize the sum of holding costs
for jobs completed before their due date and tardiness costs for jobs completed after their
due date. Additional computational tests were developed based on different customer and
enterprise oriented performance criteria, although preference is given to customer-oriented
measures, namely the total number of tardy jobs and the maximum tardiness.