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The purpose of this study is to first investigate the efficiency of the most commonly used performance measures for minimizing the number of workstations (NWs) in approaches addressing simple assembly line balancing problem (SALBP) for both straight and U-shaped line, and second to provide a comparative evaluation of 20 constructive heuristics to find solutions to the SALBP-1.

A total of 200 problems are solved by 20 different constructive heuristics for both straight and U-shaped assembly line. Moreover, several comparisons have been made to evaluate the performance of constructive heuristics.

Minimizing the smoothness index is not necessarily equivalent to minimizing the NWs; therefore, it should not be used as the fitness function in approaches addressing the SALBP-1. Line efficiency and the idle time are indeed reliable performance measures for minimizing the NWs. The most promising heuristics for straight and U-shaped line configurations for SALBP-1 are also ranked and introduced.

Results are expected to help scholars and industrial practitioners to better design effective solution methods for having the most balanced assembly line. This study will further help with choosing the most proper heuristic with regard to the problem specifications and line configuration.

There is limited research assessing the efficiency of the common objectives for SALBP-1. This study is among the first to prove that minimizing the workload smoothness is not equivalent to minimizing the NWs in SALBP-1 studies. This work is also one of the first attempts for evaluating the constructive heuristics for both straight and U-shaped line configurations.

This study aims to reduce carbon emissions and costs in an automobile production plant by improving the operational management efficiency of a serial assembly line assisted by a feeding electric tow vehicle (ETV).

A multi-objective function is formulated to minimize the energy consumption of the ETV from which emissions and costs are measured. First, a mixed-integer linear programming model is used to solve the feeding problem for different sizes of the assembly line. Second, a bi-objective optimization (HBOO) model is used to simultaneously minimize the most eco-efficient objectives: the number of completed runs (tours) by the ETV along the assembly line, and the number of visits (stops) made by the ETV to deliver kits of components to workstations.

The most eco-efficient strategy is always the bi-objective optimal solution regardless of the size of the assembly line, whereas, for single objectives, the optimization strategy differs depending on the size of the assembly line.

Instances of the problem are randomly generated to reproduce real conditions of a particular automotive factory according to a previous case study. The optimization procedure allows managers to assess real scenarios improving the assembly line eco-efficiency. These results promote the implementation of automated control of feeding processes in green manufacturing.

The HBOO-model assesses the assembly line performance with a view to reducing the environmental impact effectively and contributes to reducing the existent gap in the literature. The optimization results define key strategies for manufacturing industries eager to integrate battery-operated motors or to address inefficient traffic of automated transport to curb the carbon footprint.

Demanding and highly competitive business environment has stimulated small and medium enterprises (SMEs) to restructure their manufacturing practices. Lean manufacturing (LM), a comprehensive alternative, is now being adopted, notably by manufacturing organizations, to increase business effectiveness and performance through a variety of lean approaches. Lean implementation, however, ran into a number of difficulties, which showed that non-technical factors such as human-related practices must also be integrated if lean is to be successful. This study aims to examine a thorough overview of the various human-related lean practices (HRLP) mentioned in recent literature and to determine which of them is more pertinent to a successful LM implementation in SMEs.

A total of 193 publications published in 45 journals between 2013 and 2023 and based on the 4 reputable publishers, namely, Science Direct, Emerald Online, Taylor and Francis and Springer Link, were gathered based on a systematic literature review of peer-reviewed journal articles in LM.

The amount of research on human resource management and lean management that has been conducted has increased dramatically during the past few years. The outcome of this study will offer a thorough analysis of soft lean practices found in the LM literature that manufacturing SMEs should take into account while implementing lean.

The scope of this research is restricted to a survey of scholarly works using the terms “Lean manufacturing” or “Lean production” as well as “human” or “people” or “soft-lean practices” in the title. Furthermore, only works published in scholarly publications that have undergone peer review were included. Also, due to the authors’ linguistic restrictions, only English articles were used. The HRLP linked to a smooth lean transition are described in this research. Thus, it can be used to assist the production and human resource departments in raising an organization’s long-term performance.

The study gives researchers a better grasp of the direction the subject is taking and what gaps still exist, which aids them in focusing their research on HRLP in small- and medium-sized businesses.