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 and logistic 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, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. 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.

Recent rapid developments in information and network technology have profoundly influenced manufacturing research and its application. However, the product’s functionality and complexity of the manufacturing environments are intensifying, and organizations need to sustain the advantage of huge competitiveness in the markets. Hence, collaborative manufacturing, along with computer-based distributed management, is essential to enable effective decisions and to increase the market. A comprehensive literature review of recent and state-of-the-art papers is vital to draw a framework and to shed light on the future research avenues. In this review paper, the use of technology and management by means of collaborative and cloud manufacturing process and big data in networked manufacturing system have been discussed. A systematic review of research papers is done to draw conclusion and moreover, future research opportunities for collaborative manufacturing system were highlighted and discussed so that manufacturing enterprises can take maximum benefit.

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.