https://ira.lib.polyu.edu.hk/bitstream/10397/1269/1/SetupSurvey-2006%28June-19%29.pdf

A survey of scheduling problems with setup times or costs

On the truck dispatching problem

A state-of-the-art review on scheduling with learning effects

https://isiarticles.com/bundles/Article/pre/pdf/19142.pdf

Analytic network process in supplier selection: A case study in an electronic firm

The third comprehensive survey on scheduling problems with setup times/costs

Sustainable energy supply defined as uninterrupted, reliable, efficient, economic and environmentally friendly electricity generation is the main goal of power plants. Carrying out the proper maintenance processes has critical importance in terms of prolonging the effective operational lifetime of power plants and thus improving the sustainable power generation of the system. Since it serves for such an important purpose, maintenance is a crucial process that must be managed and selection of the most appropriate maintenance strategy is the first and unignorably stage of maintenance management in power plants as in other manufacturing facilities. Within this scope, this study focuses on the maintenance strategy selection problem in hydroelectric power plants have great importance for world and Turkey energy mix. As hydroelectric power plants comprise thousands of equipment with different characteristics, nine equipment which have similar effects and the most important ones for power plant are determined by The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under nine evaluation criteria weighted by the Analytic Hierarchy Process (AHP) for a big scale hydroelectric power plant in Turkey. Maintenance strategy combinations are obtained for each selected equipment via proposed goal programming (GP) model which uses the criteria weights and alternative priorities calculated with AHP and reflects the realities of power plant. Finally, it is determined that there is an improvement about 77% in downtimes arise from carrying out the improper maintenance strategy on selected critical equipment compared to the period when the model is not used.

A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants

Minimizing total tardiness in a scheduling problem with a learning effect

The concept of Industry 4.0 is seen as a recent paradigm in the manufacturing sector. The use of new production and management technologies required by the concept of Industry 4.0 is very important for small enterprises in order to keep up with the competition. However, most enterprises look at these requirements in a negative way. This study analyzes the propulsion forces of Industry 4.0 adopted in small and medium enterprises. By analyzing the difficulties in the transition process of small and medium-sized enterprises (SMEs) to Industry 4.0, the company contributes to the determination of strategic steps taking these results into consideration. This will facilitate the transition of enterprises to Industry 4.0 and progress can be made towards efficient use of resources. A hierarchical structure was established under the four main criteria of innovation, organization, environmental, and financial aspects, and the relative weight of these criteria and sub-criteria were calculated. The surveys conducted on business managers were evaluated using multi-criteria decision-making methods by the analytic hierarchy process method and the analytic network process. At the same time, the interaction between these criteria was taken into consideration and the criteria were re-evaluated by the analytical network process method. The results of the two methods seem to support each other.

https://www.mdpi.com/2227-9717/6/12/264/pdf

Tamer Eren

Papers

A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants

Minimizing total tardiness in a scheduling problem with a learning effect

Analysis of the Difficulties of SMEs in Industry 4.0 Applications by Analytical Hierarchy Process and Analytical Network Process

A bicriteria flowshop scheduling with a learning effect

A bicriteria parallel machine scheduling with a learning effect of setup and removal times