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PurposeGlobally, a myriad of floating workers is in grave jeopardy due to the ceasing of employment opportunities that resulted from the mobility restriction during the Covid-19. Despite the global concern, developing countries have been suffering disproportionately due to the dominance of informal workers in their labour market, posing the necessity to campaign for the immediate protection of this vulnerable population. This paper analyses various dimensions of the vulnerability of urban floating workers in the context of Covid-19 in Bangladesh. In reference to International Labour Organization's (ILO) “Decent Work” concept, this paper endeavours to examine floating workers' vulnerability using the insider-outsider framework in context to Covid-19 pandemic.Design/methodology/approachThe study was conducted in two phases. In the first phase, data were collected before the pandemic to assess the vulnerability of the informal floating workers. Later, we extended the study to the second phase during the Covid-19 pandemic to understand how pandemic affects the lives and livelihood of floating workers. In phase one, data were collected from a sample of 342 floating workers and analysed based on job security, wages, working environment, psychological wellbeing and education to understand the vulnerability of floating workers. In phase two, 20 in-depth qualitative interviews were conducted, followed by thematic analysis to explore how the pandemic affects the existing vulnerability of floating workers.FindingsVarious social protection schemes were analysed to evaluate their effectiveness in reducing the vulnerability of floating workers facing socio-economic crises. The study has found that the pandemic has multiplied the existing vulnerability of the floating workers on many fronts that include job losses, food crisis, shelter insecurity, education, social, physical and mental wellbeing. In response to the pandemic, the Government stimulus packages and Non-government Covid-19 initiatives lack the appropriate system, magnitude, and focus on protecting the floating workers in Bangladesh.Practical implicationsThis paper outlines various short-term interventions and long-term policy prescriptions to safeguard floating workers' lives and livelihood from the ongoing Corona pandemic and unforeseen uncertainties.Originality/valueThis paper is the first of its kind that aims at understanding the vulnerability of this significant workforce in Bangladesh, taking the whole picture of Government and Non-government initiatives during Covid-19.

Purpose Many research findings demonstrate the benefits of lean manufacturing implementation. However, the impact of lean manufacturing on organizational performance in developing countries like Bangladesh remains unexplored. The purpose of this paper is to investigate the impact of lean manufacturing system (LMS) on the organizational performance of the apparel industry in Bangladesh. Design/methodology/approach Empirical data were collected from 227 apparel manufacturing firms using a close-ended structured questionnaire. The causal relationships between the independent and dependent variables are examined by structural equation modeling using AMOS 20.0 software. Findings The results reveal significant evidence that the implementation of LMS has a direct impact on organizational performance in terms of operational and business performance. Practical implications The findings of this study will create a substantial interest among the practitioners of the apparel industry to implement LMS. This study will also explore the opportunities to develop lean implementation framework and identify the benefits that will enhance the competitive advantages. Originality/value This paper explores the causal relationships and argues based on the empirical data in the context of the apparel industry in Bangladesh.

Background: Additive manufacturing (AM) applications in producing spare parts are increasing day by day. AM is bridging the digital and physical world as a 3D computer-aided manufacturing (CAM) method. The usage of AM has made the supply chain of the aviation spare parts industry simpler, more effective, and efficient. Methods: This paper demonstrates the impacts of AM on the supply chain of the aircraft spare parts industry following a systematic literature review. Hence, centralized and decentralized structures of AM supply chains have been evaluated. Additionally, the attention has been oriented towards the supply chain with AM technologies and industry 4.0, which can support maintenance tasks and the production of spare parts in the aerospace industry. Results: This review article summarizes the interconnection of the industry findings on spare parts. It evaluates the potentiality and capability of AM in conceptualizing the overall supply chain. Moreover, MROs can adopt the proposed framework technologies to assist decision-makers in deciding whether the logistics hub with AM facilities is centralized or decentralized. Conclusions: Finally, this review provides an overall view to make critical decisions on the supply chain design of spare parts driven by new and disruptive technologies of industry 4.0. The next-generation supply chain may replace the logistics barriers by reducing waste and improving capability and sustainability by implementing AM technologies.

Background: Retail chains aim to maintain a competitive advantage by ensuring product availability and fulfilling customer demand on-time. However, inefficient scheduling and vehicle routing from the distribution center may cause delivery delays and, thus, stock-outs on the store shelves. Therefore, optimization of vehicle routing can play a vital role in fulfilling customer demand. Methods: In this research, a case study is formulated for a chain of retail stores in Dhaka City, Bangladesh. Orders from various stores are combined, grouped, and scheduled for Region-1 and Region-2 of Dhaka City. The ‘vehicle routing add-on’ feature of Google Sheets is used for scheduling and navigation. An android application, Intelligent Route Optimizer, is developed using the shortest path first algorithm based on the Dijkstra algorithm. The vehicle navigation scheme is programmed to change the direction according to the shortest possible path in the google map generated by the intelligent routing optimizer. Results: With the application, the improvement of optimization results is evident from the reductions of traveled distance (8.1% and 12.2%) and time (20.2% and 15.0%) in Region-1 and Region-2, respectively. Conclusions: A smartphone-based application is developed to improve the distribution plan. It can be utilized for an intelligent vehicle routing system to respond to real-time traffic; hence, the overall replenishment process will be improved.