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Appropriate disposal of end-of-life (EOL) electric vehicle battery (EVB) requires new method of supply chain management (SCM) toward sustainability. Sustainable supply chain finance (SSCF) is an innovative managerial practice dedicated to release cash flow pressure and improve operational efficiency in supply chain, which has drawn increasing attentions from academia and industry. There has been few researches on the integration of EOL EVB management and SSCF yet. The paper aims to fulfill this research gap and lead to the conjunction of environmental management with economic and social concerns.

The paper conducts a systematic literature review to discuss the probable SSCF adoption on potential market of EOL EVB disposal.

The results indicate unsustainable factors and potentials to be explored in current market of EOL EVB disposal. As a solution of sustainable SCM, SSCF can ease the tension between the urgent need of EOL EVB disposal and financing problems in the supply chain, strengthening competitive advantages of EV industry.

The significance of this paper lies in offering an interdisciplinary view by drawing upon key perspectives from the emerging sustainable technology of EVB disposal and its underlying battery second use (B2U) market considering SSCF.

With a rapidly growing population of older adults with chronic illness in US prisons, the number of people who die while incarcerated is increasing. Support for patients’ medical decision-making is a cornerstone of quality care for people at the end of life (EOL). This study aims to identify, describe, and analyze existing policies regarding EOL decision-making in U.S. Departments of Corrections.

This study performed an iterative content analysis on all available EOL decision-making policies in US state departments of corrections and the Federal Bureau of Prisons.

This study collected and reviewed available policies from 37 of 51 prison systems (73%). Some areas of commonality included the importance of establishing health-care proxies and how to transfer EOL decision documents, although policies differed in terms of which patients can complete advance care planning documents, and who can serve as their surrogate decision-makers.

Many prison systems have an opportunity to enhance their patient medical decision-making policies to bring them in line with community standard quality of care. In addition, this study was unable to locate policies regarding patient decision-making at the EOL in one quarter of US prison systems, suggesting there may be quality-of-care challenges around formalized approaches to documenting patient medical wishes in some of those prison systems.

To the best of the authors’ knowledge, this is the first content analysis of EOL decision-making policies in US prison systems.

This paper aims to address the different aspects of end-of-life (EOL) aircraft problems and their effects on original manufacturer’s supply chain. Aircraft manufacturers, in the greener aviation context, need to care about the footprint of planes at the EOL. Considering the challenges in EOL aircraft recovery, the reverse logistics and green supply chain solutions in the other industrial sections cannot be applied in the aerospace industry. A conceptual framework with four elements, supply chain competency, governance policy, relationship in supply chain and aerospace industry context, provides a basis for assessing the opportunities and challenges of the green supply chain in this industry.

The basic research method utilized in this paper is the literature review. The literature review is a research methodology that includes examining books, journals, conference proceedings and dissertations for available information on the area of research. The research area regarding EOL aircraft is new. A substantial amount of literature exists in the field of end-of-life vehicle, but the main content of literature about the aircraft recycling can be obtained via relatively few literature, technical reports, news and industrial experts’ opinions. The literature is complete in some respects while inadequate in others. A considerable amount of information has been gathered through graduate student projects. The other information has been collected via contacts with professionals involved in an EOL aircraft recycling project. The basis for this methodological framework comes from a research process proposed by Mayring (2010) that emphasizes on four steps: material collection, descriptive analysis, category section and material evaluation.

This paper addresses the opportunities and challenges of applying a green supply chain for aircraft manufacturers and analyzes the different aspects of aircraft at the EOL in the context of green supply chain.

This study enriches the literature by identifying EOL aircraft value chain analysis in the sustainable development context. It provides an introduction to a fresh research theme and sheds some light on green supply challenges in the aerospace industry.

The proposed conceptual framework in this paper helps practitioners to realize the opportunities and challenges of aircraft manufacturers in applying long-term strategies with respect to EOL aircrafts. The proposed framework helps manufacturers to evaluate different perspectives of the EOL aircraft problem. Moreover, the current contribution of aircraft manufacturers into EOL projects is not in a systematic structure and performed through several managerial and professional meetings. The proposed framework in this study is a valuable tool to evaluate the different opportunities and challenges in an organized way.

This work provides a valuable framework for future research related to green supply chains in the aerospace context. It also aids practitioners to realize the EOL aircraft problem in the context of the green supply chain, considering the opportunities and challenges.

The current study demonstrates the value of utilizing qualitative research methods to analyze logistics problems. Specifically, the study utilizes a qualitative methodology to examine the feasibility of designing a reverse logistics system to recycle and/or refurbish end‐of‐life computers that are deemed no longer useful by their owners. The qualitative methodology is a modified version of a customer visit program in which the in‐depth interviews were used to identify the special needs of stakeholders who could potentially participate in the proposed system. The qualitative interviews were structured and implemented using a standardized approach set forth in the literature. The results indicate that this qualitative technique proved valuable in obtaining industry‐sensitive stakeholder data, which allowed the researchers to more thoroughly analyze the feasibility of the proposed reverse logistics system.

The purpose of this paper is to investigate remanufacturing operational strategies considering uncertain quality of end-of-life (EOL) products and differential consumers’ willingness-to-pay (WTP) for new products and provide suggestions on the remanufacturing mode selection for the original equipment manufacturer (OEM).

This study considers three remanufacturing modes, i.e. in-house, outsourcing and authorization modes. By establishing and comparing decision models of three modes from the perspectives of profit, consumer surplus and environment, the optimal remanufacturing mode is discussed.

The results suggest that if the OEM’s remanufacturing capability is high, the in-house mode brings to the highest environmental performance, OEM’s profit and consumer surplus. Otherwise, the outsourcing mode (authorization) is the best benefit to environment (consumers if the unit production cost of new products is not too high). As for the preference of two decision-makers to outsourcing and authorization modes, if the difference of consumers’ WTP for new products is low, the OEM prefers the outsourcing mode; otherwise, the OEM prefers the authorization mode. The preference of the third-party remanufacturer (TPR) to remanufacturing mode is affected by consumers’ WTP for remanufactured products, WTP difference for new products and remanufacturing quality level standard.

These results can provide operational insights into how to select remanufacturing mode when the quality of EOL products is uncertain and consumers’ WTP for new products is different under three remanufacturing modes.

This paper is among the first to investigate the joint effects of EOL products’ uncertain quality and differential consumers’ WTP for new products on the operational strategies and performance under different remanufacturing modes.

This paper designs an optimal closed-loop supply chain network with an integrated forward and reverse logistics to examine the possibility of remanufacturing end-of-life (EoL) ships.

Explanatory variables are used to estimate the number of EoL ships available in a closed-loop supply chain network. The estimated number of EoL ships is used as an input in the model and then it is solved by a mixed-integer linear programming (MILP) model of the closed-loop supply chain network to minimise the total logistic costs. A discounted payback period formula is developed to calculate the length of time to recoup an investment based on the investment's discounted cash flows. Existing ship wrecking industry clusters in the Western region of India are used as the case study to apply the proposed model.

The MILP model has optimised the total logistics costs of the closed-loop supply network and ascertained the optimal number and location of remanufacturing for building EoL ships. The capital and variable costs required for establishing and operating remanufacturing centres are computed. To remanufacture 30 ships a year, the discounted payback period of this project is estimated to be less than two years.

Ship manufacturing businesses are yet to re-manufacture EoL ships, given high upfront capital expenditure and operational challenges. This study provides management insights into the costs and benefits of EoL ship remanufacturing; thus, informing the decision-makers to make strategic operational decisions.

The design of an optimal close loop supply chain network coupled with a Bayesian network approach and discounted payback period formula for the collection and remanufacturing of EoL ships provides a new integrated perspective to ship manufacturing.

Family friendly workplace policies (FFWPs) are designed to help employees co‐manage work and personal obligations. With the rising aging population and subsequent emphasis on informal caregiving in Canada, Canadian employees will have to maintain paid work while serving as caregivers for family members at end‐of‐life (EoL). Thus, workplaces need to be prepared to accommodate these workers' requests. The objective of this paper is to explore, qualitatively, the workplace and employee characteristics that are most helpful to employees in EoL caregiving situations from an employer/human resources (HR) perspective so as to inform the development of FFWPs targeting this group.

The authors draw on the findings of five focus group discussions undertaken in 2008 with Canadian employers and HR professionals in the provinces of British Columbia, Manitoba, Ontario, Quebec, and Newfoundland and Labrador.

There are clear differences in how large and small workplaces accommodate employees who are providing EoL care. For instance, larger workplaces are more likely to have set policies around employee EoL care leaves and are unable to accommodate employees' needs that fall outside the scope of these policies; smaller workplaces are less likely to have standard policies for caregiver leaves and are more able to customize responses to leave requests. Employee characteristics such as length of time working for the employer and employee skill level also have a bearing on accommodating employee EoL care leave requests. The presence of HR infrastructure, which is more characteristically found in large workplaces, is also related to the availability of formal FFWPs.

The fact that the data were derived from the employer/HR perspective and not those of actual employees is a limitation. The small sample size and convenience (non‐random) sampling limits the generalizability of the findings.

This research contributes to the limited literature on FFWPs and EoL caregiving accommodations. The findings of this study can directly inform workplace practice, both now and in the years to come, regarding how best to support workers who are also providing informal EoL care to family, friends, and others.

This study asks the following research question: does “city” context interact with gender and gender egalitarianism (GE) to impact the positive (WFPOS – work–family positive spillover) and negative (WFC - work-family conflict) aspects of the work–family (WF) interface of working men and women in India.

MANCOVA analysis is used to examine data gathered from 250+ working men and women from eight different Indian cities that were ranked based on the 2018 Ease of Living (EOL) Index.

There was no significant main effect of gender on WF interface variables. Low levels of GE and low EOL were significantly associated with high levels of WFC and WFPOS. There was a significant interaction between gender, GE and city. An examination of within-gender differences indicated that in low-EOL cities, men and women with low values of GE (traditionals) had significantly higher time-based WFC than men and women with high values of GE (egalitarians). Additionally, traditional women reported higher WFPOS than egalitarian women. In high-EOL cities, traditional men reported significantly higher time-based WFC than egalitarian men. There were no significant differences between women.

Gender, along with gender-related attitudinal and contextual variables, does a better job of explaining variance in the WF interface as compared to gender alone. Results support the notion that high WFPOS and high WFC can co-occur in contexts of change and transition such as rapidly growing urban centers.

The results have significance for work–family practitioners as well as urban city planners looking to improve the quality of work–life in India and other similar emerging market economies experiencing rapid urbanization.

The study extends work–family research by bringing aspects of urban planning and gender studies into an understanding of the work–family interface.

At the end of a building’s lifecycle, there are several limitations to the decision-making process (DMP). There is a lack of data available from the building’s history, the difficulty in assessing the condition of a building and the variety of stakeholders’ needs that have to be satisfied. The purpose of this paper is to answer the question: how would end-of-life (EOL) DMP change when buildings will have been digitally built? The answer will be illustrated through a conceptual framework.

A qualitative analysis of the existing literature has been performed to identify the elements within building information modelling (BIM) and advanced digital technologies that could be of support to the DMP. The findings have been collected and summarised in a conceptual framework that has been validated and enhanced through online interviews with industry experts.

The enhanced framework has identified that BIM technology would bring the benefit of providing the initial digital data source, from which machine learning and data analytics would then extract the relevant data needed to measure accurately the criteria during the analysis of the EOL options put on the table.

The findings of this research could contribute to developing the software modules making the bridge between BIM and machine learning technologies, to implement them in the EOL DMP.

In this chapter, a case of reverse supply chain is considered, where a product recovery facility receives sensors and Radio Frequency Identification (RFID) tags embedded End-Of-Life (EOL) products. Sensors and RFID tags can capture and store component’s life cycle information during its economic life. This technology can provide data about contents and conditions of products and components without the need of actual disassembly and inspection. It also determines the remaining lives of the components which eventually translate into their quality levels.

The example considered here presents an advanced-repair-to-order-and-disassembly-to-order system. It disassembles the components to meet the components’ demands, repairs the products to meet the products’ demands and recycles the materials to meet the materials’ demands. The received EOL products may have different design alternatives. The objective of the proposed multi-criteria decision-making model is to determine which of the design alternatives is best in fulfilling the various criteria.