Solving Scheduling Deteriorating Jobs with Rate Modifying Activity

Traditional scheduling problems assume that the processing time of a given job is always fixed. However, the processing times may change in real industrial applicants. To reflect the real world, we use two new phenomenons in this study. The first one is known as the deterioration job where the job processing times are defined by functions of their starting times and positions in the sequence. And, the other one is rate-modifying-activity is an activity which affects and changes the production rate of the machines. This study aims to determine the work sequence, the number of breaks and their positions within the work sequence while considering the deterioration jobs and rate-modifying-activities. In this dissertation, three different mathematical models are introduced to solve the scheduling problems. The first model addresses a classical single machine problem with makespan and total flow time objectives to consider deteriorating jobs and rate-modifying-activity. The second model introduces a single worker scheduling problem which considers workers’ physiological factors while determining the break time. The third model introduces a bi-criteria scheduling model with deteriorating jobs and rate-modifying-activities on a single machine. Also, several different heuristic algorithms are developed for large-sized problems. For each mathematical model and heuristic, independent experiments are performed to analyze the effectiveness of these algorithms

An efficient time algorithm for makespan objectives

This paper focuses on a single machine scheduling subject to machine deterioration with rate-modifying activities (RMA). The motivation for this study stems from the automatic-production line problem with one machine. The main question is to find the sequence in which jobs should be scheduled, how many maintenance activity (RMA) to use, if any, and where to insert them in the schedule during the time interval with optimal makespan objective. This problem is known to be NP-hard and we give concise analyses of the problem and provide polynomial time algorithms to solve the makespan problem. We also propose an algorithm which can be applied to some scheduling problems with the actual processing time of job nonlinearly based on its position.This paper focuses on a single machine scheduling subject to machine deterioration with rate-modifying activities (RMA). The motivation for this study stems from the automatic-production line problem with one machine. The main question is to find the sequence in which jobs should be scheduled, how many maintenance activity (RMA) to use, if any, and where to insert them in the schedule during the time interval with optimal makespan objective. This problem is known to be NP-hard and we give concise analyses of the problem and provide polynomial time algorithms to solve the makespan problem. We also propose an algorithm which can be applied to some scheduling problems with the actual processing time of job nonlinearly based on its position.</jats:p

Sustainable frozen food facility location selection under pandemic era

Consumption of frozen food has increased significantly in many countries experiencing total closure due to epidemics. In order to meet this increase in demand, companies apply different strategies in both production and logistics processes. In particular, warehouse locations need to be closer to consumers so as not to disrupt the increasing demand and the cold chain. Considering the sustainable position in the frozen food industry, it is essential to focus on both commercial and economic impacts. However, especially the environmental and sustainable criteria have always been neglected in terms of planning the country and the city. Therefore, this study has three main research questions; (1) identify key criteria for sustainability-focused frozen food facility location, (2) understand the relationship between these criteria, and (3) develop a hierarchical sustainable location roadmap for practitioners. Initially, a literature review was conducted to find the answers to these questions and reveal suitable criteria. Secondly, PROMETHEE was used to determine the relative importance of the data-driven performance of the main and sub-criteria. Therefore, this study gives the reader a comprehensive insight into how sustainable data-driven performance criteria are applied in frozen food storage facility locations. Finally, the proposed model used real-life data to select a developing country's sustainable frozen food storage location

Construction and Demolition Waste Management in Urban Transformation: A Case Study for Performance Evaluation

 Due to the decreasing resources in the world, different recycling applications in different sectors are gaining more importance. Urban transformations initiated especially for earthquake remnants and old buildings provide many advantages for the construction sector. Recycling of valuable materials from the wastes from each demolished construction site is very important in terms of costs. It is also important to analyse the effectiveness of both public and private companies to compare different approaches and illustrate best practices. From this point of view, this research has been carried out on the recycling of construction and demolition wastes in Turkey and the performance of companies dealing with this business. Analytical hierarchy process (AHP) and gray relations analysis (GRA) will be applied for the evaluation phase. The criteria will be analysed through AHP and the connection between companies will be determined with the GRA method. According to the results, potential improvement opportunities will be identified to increase the performance and competitiveness of construction excavation companies. This will also allow the findings to serve as a potential model for other construction companies operating under different contingency factors, as well as presenting the list of criteria that construction companies should pay attention for performance evaluation

A New Perspective for Construction Supply Chains in Digital Era

The construction industry is a highly labor-intensive industry with a low degree of automation and digitization. However, as in the manufacturing industry, a \u27new order\u27 is emerging for the way the construction industry works today. This study aims to present the transformation of construction supply chains (CSCs) in Industry 4.0 by considering each supply chain stage separately, where the main purpose is to determine the criteria for the integration of the CSC with the Industry 4.0 perspective. A literature review and a Delphi study were conducted, and thirteen criteria are proposed to show the integration of Industry 4.0 aspects and CSC stages. Furthermore, one of the multi-criteria decision-making (MCDM) methods, the Best-Worst method, is used to prioritize the criteria for guiding future implications during the transformation of construction supply chains. Among the six CSC stages, the design stage is the most important from the Industry 4.0 perspective. In addition, client collaboration by ICT (BIM) during the design phase is the most important sub-factors’ overall rank. Although there is a limited number of studies on the CSC, there are no empirical studies addressing the current digital age approach. As a result, there is a significant gap in the construction literature, and a thorough assessment of the building supply chain in an Industry 4.0 setting is lacking. To the best of the authors\u27 knowledge, this is the first study to illustrate the transformation of CSCs in Construction 4.0 by looking at each supply chain stage separately

Analysis of Corporate Governance and Financial Sustainability Using the TOPSIS Method

Stakeholders of listed companies are interested in the financial sustainability and corporate governance (CG) issues in the companies. This study aims to explore the relationship between corporate governance practices and financial sustainability in light of OECD principles of corporate governance. Altman’s Z-scores and CG ratings of 20 companies listed in the Borsa Istanbul Corporate Governance Index (XKURY) were analyzed using the TOPSIS method. The results obtained in this study show that firms’ financial sustainability and corporate governance scores don’t move in the same direction for the years from 2013 to 2018

On the 4Ps & 4Cs of Green Logistics Marketing Mix

The world is getting more polluted each day. Fortunately, consumers are now more aware and concerned about environmental issues. Customers are expecting the same sensitivity to the environment in both marketing and production strategies of companies. The main aim of this paper is to develop a framework for understanding the integration of green marketing concept with the marketing mix both in the form of 4Ps (price, place, promotion, product) and 4Cs (communication, costs, convenience, customer). This paper will deal with the environmentaly friendly measures to be taken by marketing organizations. In addition to the green marketing sub-mix, some important strategies, including green logistics and reverse logistics topics, are handled extensively with the aim of completing the framework of the green marketing

Propose a Polynomial Time Algorithm for Total Completion Time Objective

In this study, we integrate deteriorate jobs with repair&amp;maintenance activity on a single machine scheduling subject to total completion time. This work has more than one motivation. First, jobs are assigned to machines in an automated production line. Later, to schedule the maintenance activities, if needed, to prevent machinery from breaking down later. There are some important mathematical models to solve this combination. However, due to the complexity of the problem which is Np-hard, a polynomial algorithm should be needed for solving large problems. Therefore, this article introduces several polnomial algorithms to determine the order of things best. With using these algorithms, it will be possible to determine where to assign to the schedule, taking into account the number of maintenance activities required and their optimum total completion time.</jats:p

On the 4Ps & 4Cs of Green Logistics Marketing Mix

The world is getting more polluted each day. Fortunately, consumers are now more aware and concerned about environmental issues. Customers are expecting the same sensitivity to the environment in both marketing and production strategies of companies. The main aim of this paper is to develop a framework for understanding the integration of green marketing concept with the marketing mix both in the form of 4Ps (price, place, promotion, product) and 4Cs (communication, costs, convenience, customer). This paper will deal with the environmentaly friendly measures to be taken by marketing organizations. In addition to the green marketing sub-mix, some important strategies, including green logistics and reverse logistics topics, are handled extensively with the aim of completing the framework of the green marketing

New business model proposal in the digital age: sustainability-focused servitization

Purpose With the pressure of global markets and demanding customers, most production companies are moving from pure production to the integration of products and services. This new formation is known as servitization and can give companies a strong competitive advantage. The recent studies in the literature propose that servitization has a positive impact on sustainability by improved energy consumption. However, they also underscored the need for better implementation of sustainability and the barriers avoiding sustainable servitization behavior. This research aims to investigate sustainability-oriented servitization barriers, which have not taken any attention by previous research, and their relationships for successful implementations. Design/methodology/approach We extracted fifteen servitization barriers from the literature and a focus group study. Then we presented their relationship with sustainable dimensions such as human, business, economic and market, and environment. Using the selected experts’ assessments, we implemented Fuzzy-TISM to analyze the causal relationship among the barriers. We also implemented Fuzzy-MICMAC analysis to categorize the barriers. Findings The findings presented that lack of understanding of customer, cultural problems, high market risk, financial constraints, lack of environmental awareness, and lack of environmental regulations are independent variables and play a very critical role in the success of sustainable-servitization implementations. Finally, we proposed several managerial insights and a structured hierarchical model that can be used as a guide by practitioners to develop a better strategy for their implementations. Originality/value To the best of our knowledge, a detailed examination of the barriers and challenges in the triple bottom line approach is already missing at the desired level. From this point of view, this study is the first research that determines barriers of servitization based on the triple-bottom-line model with a sustainability perspective