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Book part
Publication date: 6 November 2013

Can B. Kalayci and Surendra M. Gupta

Disturbing increase in the use of virgin resources to produce new products has threatened the environment. Many countries have reacted to this situation through regulations which…

Abstract

Disturbing increase in the use of virgin resources to produce new products has threatened the environment. Many countries have reacted to this situation through regulations which aim to eliminate negative impact of products on the environment shaping the concept of environmentally conscious manufacturing and product recovery (ECMPRO). The first crucial and the most time-consuming step of product recovery is disassembly. The best productivity rate is achieved via a disassembly line in an automated disassembly process. In this chapter, we consider a sequence-dependent disassembly line balancing problem (SDDLBP) with multiple objectives that is concerned with the assignment of disassembly tasks to a set of ordered disassembly workstations while satisfying the disassembly precedence constraints and optimizing the effectiveness of several measures considering sequence-dependent time increments among disassembly tasks. Due to the high complexity of the SDDLBP, there is currently no known way to optimally solve even moderately sized instances of the problem. Therefore, an efficient methodology based on the simulated annealing (SA) is proposed to solve the SDDLBP. Case scenarios are considered and comparisons with ant colony optimization (ACO), particle swarm optimization (PSO), river formation dynamics (RFD), and tabu search (TS) approaches are provided to demonstrate the superior functionality of the proposed algorithm.

Details

Applications of Management Science
Type: Book
ISBN: 978-1-78190-956-0

Keywords

Article
Publication date: 2 March 2015

Can B. Kalayci, Olcay Polat and Surendra M. Gupta

The purpose of this paper is to efficiently solve disassembly line balancing problem (DLBP) and the sequence-dependent disassembly line balancing problem (SDDLBP) which are both…

Abstract

Purpose

The purpose of this paper is to efficiently solve disassembly line balancing problem (DLBP) and the sequence-dependent disassembly line balancing problem (SDDLBP) which are both known to be NP-complete.

Design/methodology/approach

This manuscript utilizes a well-proven metaheuristics solution methodology, namely, variable neighborhood search (VNS), to address the problem.

Findings

DLBPs are analyzed using the numerical instances from the literature to show the efficiency of the proposed approach. The proposed algorithm showed superior performance compared to other techniques provided in the literature in terms of robustness to reach better solutions.

Practical implications

Since disassembly is the most critical step in end-of-life product treatment, every step toward improving disassembly line balancing brings us closer to cost savings and compelling practicality.

Originality/value

This paper is the first adaptation of VNS algorithm for solving DLBP and SDDLBP.

Details

Journal of Manufacturing Technology Management, vol. 26 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 8 March 2013

Can B. Kalayci and Surendra M. Gupta

The purpose of this paper is to introduce sequence‐dependent disassembly line balancing problem (SDDLBP) to the literature and propose an efficient metaheuristic solution…

Abstract

Purpose

The purpose of this paper is to introduce sequence‐dependent disassembly line balancing problem (SDDLBP) to the literature and propose an efficient metaheuristic solution methodology to this NP‐complete problem.

Design/methodology/approach

This manuscript utilizes a well‐proven metaheuristics solution methodology, namely, ant colony optimization, to address the problem.

Findings

Since SDDLBP is NP‐complete, finding an optimal balance becomes computationally prohibitive due to exponential growth of the solution space with the increase in the number of parts. The proposed methodology is very fast, generates (near) optimal solutions, preserves precedence requirements and is easy to implement.

Practical implications

Since development of cost effective and profitable disassembly systems is an important issue in end‐of‐life product treatment, every step towards improving disassembly line balancing brings us closer to cost savings and compelling practicality.

Originality/value

This paper introduces a new problem (SDDLBP) and an efficient solution to the literature.

Article
Publication date: 12 December 2022

Iman Mohammadi, Hamzeh Mohammadi Khoshouei and Arezoo Aghaei Chadegani

In this study, to maximize returns and minimize investment risk, an attempt was made to form an optimal portfolio under conditions where the capital market has a price bubble…

Abstract

Purpose

In this study, to maximize returns and minimize investment risk, an attempt was made to form an optimal portfolio under conditions where the capital market has a price bubble. According to the purpose, the research was of the applied type, in terms of data, quantitative and postevent, and in terms of the type of analysis, it was of the descriptive-correlation type. Sequence, skewness and kurtosis tests were used to identify the months with bubbles from 2015 to 2021 in the Tehran Stock Exchange. After identifying the bubble courses, artificial bee colony meta-heuristic and invasive weed algorithms were used to optimize the portfolio. The purpose of this paper is to address these issues.

Design/methodology/approach

The existence of bubbles in the market, especially in the capital market, can prevent the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country. However, due to the goal of investors to achieve a portfolio of high returns with the least amount of risk, there is need to pay attention to these markets increases.

Findings

The results identify 14 periods of price bubbles during the study period. Additionally, stock portfolios with maximum returns and minimum risk were selected for portfolio optimization. According to the results of using meta-heuristic algorithms to optimize the portfolio, in relation to the obtained returns and risk, no significant difference was observed between the returns and risk of periods with price bubbles in each of the two meta-heuristic algorithms. This study can guide investors in identifying bubble courses and forming an optimal portfolio under these conditions.

Research limitations/implications

One of the limitations of this research is the non-generalizability of the findings to stock exchanges of other countries and other time periods due to the condition of the price bubble, as well as other companies in the stock market due to the restrictions considered for selecting the statistical sample.

Originality/value

This study intends to form an optimal stock portfolio in a situation where the capital market suffers from a price bubble. This study provides an effective and practical solution for investors in the field of stock portfolio optimization.

Details

Managerial Finance, vol. 49 no. 4
Type: Research Article
ISSN: 0307-4358

Keywords

Content available
Book part
Publication date: 6 November 2013

Abstract

Details

Applications of Management Science
Type: Book
ISBN: 978-1-78190-956-0

Content available
Article
Publication date: 30 September 2014

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Abstract

Details

Journal of Manufacturing Technology Management, vol. 25 no. 8
Type: Research Article
ISSN: 1741-038X

Content available
Article
Publication date: 1 February 2016

14

Abstract

Details

Journal of Manufacturing Technology Management, vol. 27 no. 1
Type: Research Article
ISSN: 1741-038X

Article
Publication date: 21 September 2015

Zeliha Özlü-Erkilic, Dietmar Winkler, Christian Popow, Heidi Elisabeth Zesch and Türkan AKKAYA-KALAYCI

The migration background can influence the life satisfaction of migrants. The purpose of this paper is to examine the life satisfaction of migrants and particularly the…

Abstract

Purpose

The migration background can influence the life satisfaction of migrants. The purpose of this paper is to examine the life satisfaction of migrants and particularly the satisfaction regarding their health in comparison to natives.

Design/methodology/approach

The life satisfaction of 50 Turkish-speaking migrants living in Vienna was compared with the life satisfaction of 50 native Austrians by the questionnaire of life satisfaction by Fahrenberg et al. (2000).

Findings

Turkish-speaking migrants had lower values than natives in all scales of the questionnaire concerning life satisfaction. Turkish-speaking women reported the lowest satisfaction regarding their health state. In the migrant group the satisfaction regarding health decreased with increasing age.

Research limitations/implications

The Turkish version of the questionnaire was translated into Turkish by authors but not formally validated. Furthermore acculturation strategies as well as the mental and physical health state of the participant, which can crucially influence the life satisfaction of migrants, were not surveyed.

Practical implications

Migrants have lower life satisfaction possibly because of their physical and mental health problems. Therefore in countries with a high proportion of migrants the health-care system should be adapted for the needs of migrants, especially for the needs of women and older migrants in order to increase the utilization of the health-care services, primarily the use of the preventive health-care services.

Social implications

The results of the present study can be helpful to develop strategies for improving the life satisfaction of migrants, especially the satisfaction regarding their health.

Originality/value

To the authors’ knowledge, the present study is the first research project in Vienna conducted to estimate the impact of migration background on life satisfaction.

Details

International Journal of Migration, Health and Social Care, vol. 11 no. 3
Type: Research Article
ISSN: 1747-9894

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Article
Publication date: 3 July 2017

Anoop Desai and Anil Mital

The purpose of this paper is to present an interactive system to enable product design for disassembly and to offer robust and quick design solutions based on designers’ input.

Abstract

Purpose

The purpose of this paper is to present an interactive system to enable product design for disassembly and to offer robust and quick design solutions based on designers’ input.

Design/methodology/approach

The system utilizes an interactive questionnaire to communicate with the designer. The questionnaire is in the form of binary questions (Yes/No) and design questions that would enable the system to learn the objectives of the design. Solutions are based on a CAD supported design platform. The efficiency of each design is calculated using disassembly time as the metric of measurement using motion-time measurement (MTM). The designer would be able to make an informed decision with respect to component functionality, ease of disassembly and disassembly time. The paper presents a detailed framework and structure of this system.

Findings

The value of the system is corroborated by means of a case study of an actual product design. The system is structured to offer multiple solutions to a design problem so as to enable the designer to choose the option that best serves their needs.

Originality/value

This novel interactive system would accept customers’ design preferences as input and offer multiple solutions in order to solve the design problem. Process time is directly calculated using the MTM system of measurement by converting design features into time measurement units. Disassembly time can then be easily converted into disassembly cost by using standard conversion rates. The value to designers is obvious.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 6
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 2 March 2021

Matthew Wilson, Jeannette Paschen and Leyland Pitt

Technology is an important force in the entrepreneurial ecosystem as it has the potential to impact entrepreneurial opportunities and processes. This paper explores the emerging…

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Abstract

Purpose

Technology is an important force in the entrepreneurial ecosystem as it has the potential to impact entrepreneurial opportunities and processes. This paper explores the emerging technology of artificial intelligence (AI) and its implications for reverse logistics within the circular economy (CE). It considers key reverse logistics functions and outlines how AI is known to, or has the potential to, impact these functions.

Design/methodology/approach

The paper is conceptual and utilizes the literature from entrepreneurship, the CE and reverse logistics to explore the implications of AI for reverse logistics functions.

Findings

AI provides significant benefits across all functions and tasks in the reverse logistics process; however, the various reverse logistics functions and tasks rely on different forms of AI (mechanical, analytical, intuitive).

Research limitations/implications

The paper highlights the importance of technology, and in particular AI, as a key force in the digital entrepreneurial ecosystem and discusses the specific implications of AI for entrepreneurial practice. For researchers, the paper outlines avenues for future research within the entrepreneurship and/or CE domains of the study.

Originality/value

This paper is the first to present a structured discussion of AI's implications for reverse logistics functions and tasks. It addresses a call for more research on AI and its opportunities for the CE and emphasizes the importance of emerging technologies, particularly AI, as an external force within the entrepreneurial ecosystem. The paper also outlines avenues for future research on AI in reverse logistics.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

1 – 10 of 56