Search results

The objective of this study is to investigate the barriers hindering the integration of lean manufacturing (LM) practices within the furniture industry of Bangladesh. The traditional operational paradigms in this sector have posed substantial challenges to the effective implementation of LM. In this study, the barriers of implementing LM in the furniture business are examined, aiming to provide a systematic understanding of the barriers that must be addressed for a successful transition.

The research reveals that “Fragmented Industry Structure,” “Resistance to Lean Practices” and “Inadequate Plant Layout and Maintenance”, emerged as the foremost barriers to LM implementation in the furniture industry. Additionally, “Insufficient Expert Management,” “Limited Technical Resources” and “Lack of Capital Investment” play significant roles.

The outcomes of this study provide valuable insights into the furniture industry, enabling the development of strategies for effective LM implementation. One notable challenge in lean implementation is the tendency to revert to established practices when confronted with barriers. Therefore, this transition necessitates informed guidance and leadership. In addition to addressing these internal challenges, the scope of lean implementation should be broadened.

This study represents one of the initial efforts to systematically identify and assess the barriers to LM implementation within the furniture industry of Bangladesh, contributing to the emerging body of knowledge in this area.

This paper aims to present the application of a tailored systematic engineering design procedure to the concept design of a small production plant for compostable packaging made by straw fibres and bioplastic. In particular, the obtained boxes are intended to be used for wine bottles.

A systematic procedure has been adopted, which underpins on a comprehensive analysis of the design requirements and the function modelling of the process. By considering well-known models of the engineering design process, the work focuses on the early design stages that precede the embodiment design of the whole components of the plant.

The followed design approach allowed to preliminarily evaluate different alternatives of the process from a functional point of view, thus allowing to identify the preferred conceptual process solution. Based on the identified functional sequence, a first evaluation of the potential productivity and the required human resources has been performed.

The procedure shown in this work has been applied only for the considered case of compostable packaging, and other applications are needed to optimize it. Nevertheless, the adopted systematic approach can be adapted for any context where it is necessary to conceive a new production plant for artefacts made by innovative materials.

The work presented in this paper represents one of the few practical examples available in the literature where systematic conceptual design procedures are presented. More specifically, to the best of the authors’ knowledge, this is the very first application of systematic design methods to compostable packaging production.

This paper aims to investigate the impact of adopting lean manufacturing principles on operational efficiency by eliminating seven major lean wastes (or Muda) in a Malaysian stationery manufacturer. Much of the research on lean considers its application to larger organisations with stable demand patterns. This research examines a small- and medium-sized enterprise (SME) with a volatile demand pattern.

A process activity mapping (PAM) methodology was utilized to identify the potential for waste elimination. PAM is a visual tool that considers every step in a production process. Value-added and non-value-added activities are therefore examined to understand hidden wastes and their sources.

The results revealed that the adopted lean principles significantly reduce the waiting times. This time reduction resulted in savings (reduction of cycle time) and to a certain extent, can be a crucial driver in continuous improvement sustainability in the production process.

The study focuses on a single case study and provides a springboard for further research. Future studies examining the results across a broader sample of organisations would develop the findings further.

The extant literature cites mixed success for lean implementation programmes. The results demonstrate that lean is still recognised as a powerful approach to improving operations in SMEs.

This paper reflects on the application of lean in a real case study showing the impact of lean on operational performance of an SME.

“Can artificial intelligence produce architectural plan schemes?” discussion is the starting point of this study. The aim of this paper is to question whether this will be a new method in architectural design by producing plans with artificial intelligence interfaces working with human–computer interaction and to create a discussion environment.

The main research topic is the evaluation of architectural design decisions with the text-to-image generation AI algorithms method based on shape grammar rules. First, a sample space consisting of Palladio plans or plan diagrams was created. Plan diagram production experiments were made with different interfaces (Midjourney, Dall-e2, Stable Diffusion, Craiyon, Nightcafe), and alternative plan diagrams were recorded as outputs. The discussion of the outputs has been made over architectural design and space.

In the conceptual design phase of the architectural discipline and in the production of architectural plan scheme, AI algorithms are trending. This interaction imposes a new responsibility on architects. AI can create paradigm shifts in architectural processes with its tools with high data processing potential. On the other hand, in this study, it is emphasized that architecture is not just an act of producing visuals, but a functional act of producing visuals.

The technology is effective in producing architectural plans and directing them to artificial intelligence algorithms. With this study, multi-alternative architectural plan productions were tried with text-to-image bots with fast results. In this direction, a new method proposal has been developed for the conceptual design phase in architecture.

Ready-mix concrete delivery problem (RMCDP), a specific version of the vehicle routing problem (VRP), is a relevant supply-chain engineering task for construction management with various formulations and solving methods. This problem can range from a simple scenario involving one source, one material and one destination to a more challenging and complex case involving multiple sources, multiple materials and multiple destinations. This paper presents an Internet of Things (IoT)-supported active building information modeling (BIM) system for optimized multi-project ready-mix concrete (RMC) delivery.

The presented system is BIM-based, IoT supported, dynamic and automatic input/output exchange to provide an optimal delivery program for multi-project ready-mix-concrete problem. The input parameters are extracted as real-time map-supported IoT data and transferred to the system via an application programming interface (API) into a mixed-integer linear programming (MILP) optimization model developed to perform the optimization. The obtained optimization results are further integrated into BIM by conventional project management tools. To demonstrate the features of the suggested system, an RMCDP example was applied to solve that included four building sites, seven eligible concrete plants and three necessary RMC mixtures.

The system provides the optimum delivery schedule for multiple RMCs to multiple construction sites, as well as the optimum RMC quantities to be delivered, the quantities from each concrete plant that must be supplied, the best delivery routes, the optimum execution times for each construction site, and the total minimal costs, while also assuring the dynamic transfer of the optimized results back into the portfolio of multiple BIM projects. The system can generate as many solutions as needed by updating the real-time input parameters in terms of change of the routes, unit prices and availability of concrete plants.

The suggested system allows dynamic adjustments during the optimization process, andis adaptable to changes in input data also considering the real-time input data. The system is based on spreadsheets, which are widely used and common tool that most stakeholders already utilize daily, while also providing the possibility to apply a more specialized tool. Based on this, the RMCDP can be solved using both conventional and advanced optimization software, enabling the system to handle even large-scale tasks as necessary.

Ergonomics usually reciprocate the study about people fitness toward working environment. In addition, financial distress refers a condition of organizations incompetency in generating sufficient revenues or incomes, which thereby refrain them to pay their financial obligations. This study aims to evaluate two independent organizational fields named as ergonomics in first phase and financial distress in manufacturing organization behavior in the second phase. The study presented a resiliency framework for operations and strategic management in the third phase based on various facts received from the distress organizations.

A questionnaire survey based on plant-visit is presented. The study embedded two segments to explicate its novelty. In the first segment, the plant-visit case study is presented and in the second segment, an exploratory data related to financial distress is presented. The study tried to communicate observations related to multiple decision-making fields in single umbrella, where multiple concepts like ergonomics and financial distress of organizations as well as employees are presented. DEMATEL-ANP integrated approach is used to represent the critical financial distress dimensions of employees and their ranking.

The study provided insights toward connecting two independent fields named as ergonomics and financial distress in single umbrella. The study can benefit practitioners in designing policies and procedures in their planning model to effectively achieve organizational goals. The study presented 14 financial distress drivers of employees and advocated the aggregation of ergonomics and financial distress toward developing a holistic framework for attaining organization goals for sustainability.

The study presented a comprehensive understanding about multiple organization decision-making fields toward developing a holistic approach from different aspects for attaining organizational sustainability. The study can be fruitful in stimulating cross-pollination of ideas between researchers and provides a good understandability of ergonomics and financial distress in single roof.

Providing improved access to nature within educational settings can promote stronger child–nature connections and is conditional on making evidence-based decisions for the planning, design and refurbishment of school architecture. The study offers insight into ways of reconnecting children with nature by examining the distribution and classification of diverse natural elements for enhancing children's visual and non-visual experiences of educational environments.

This study combines quantitative and qualitative analysis of data gathered through measurement and observation at three schools in Glasgow, with a total of 75 students, to identify key issues influencing child–nature multi-sensorial connections within indoor and outdoor environments and on building envelopes and layouts. It applies children's open-questions and diagrams to investigate children's discovery of nature, their feelings around natural attributes and their environmental preferences within school contexts.

This study's findings reveal that architectural features and landscape settings have significant influence on the quantitative and qualitative degrees of children's natural exploration through visual and non-visual sensorial modalities and environmental preferences.

The limitations of this study are that the data was gathered in the Spring season and with different groups of children from The Glasgow Academy who received the same educational curriculum. Thus, there is a need for further investigation on children's experiences of nature based on temporal and contextual differences, and varying educational-socio-cultural and economic factors.

The findings suggest that applications of natural diversity, accessible and flexible pathways and indoor natural settings, are potential approaches to connect children with nature within their study and play environments.

The authors provide a deeper understanding of how nature-based settings, including indoor and outdoor environments, constructively benefit children's multi-sensorial experiences, knowledge and biophilic feelings toward nature.

Advancement in optimization of VLSI circuits involves reduction in chip size from micrometer to nanometer level as well as fabrication of a billions of transistors in a single die where global routing problem remains significant with a trade-off of power dissipation and interconnect delay. This paper aims to solve the increased complexity in VLSI chip by minimization of the wire length in VLSI circuits using a new approach based on nature-inspired meta-heuristic, invasive weed optimization (IWO). Further, this paper aims to achieve maximum circuit optimization using IWO hybridized with particle swarm optimization (PSO).

This paper projects the complexities of global routing process of VLSI circuit design in mapping it with a well-known NP-complete problem, the minimum rectilinear Steiner tree (MRST) problem. IWO meta-heuristic algorithm is proposed to meet the MRST problem more efficiently and thereby reducing the overall wire-length of interconnected nodes. Further, the proposed approach is hybridized with PSO, and a comparative analysis is performed with geosteiner 5.0.1 and existing PSO technique over minimization, consistency and convergence against available benchmark.

This paper provides high performance–enhanced IWO algorithm, which keeps in generating low MRST value, thereby successful wire length reduction of VLSI circuits is significantly achieved as evident from the experimental results as compared to PSO algorithm and also generates value nearer to geosteiner 5.0.1 benchmark. Even with big VLSI instances, hybrid IWO with PSO establishes its robustness over achieving improved optimization of overall wire length of VLSI circuits.

This paper includes implications in the areas of optimization of VLSI circuit design specifically in the arena of VLSI routing and the recent developments in routing optimization using meta-heuristic algorithms.

This paper fulfills an identified need to study optimization of VLSI circuits where minimization of overall interconnected wire length in global routing plays a significant role. Use of nature-based meta-heuristics in solving the global routing problem is projected to be an alternative approach other than conventional method.

Given the lack of focus on a standardized measurement framework (e.g. benchmarking tool) to assess and quantify complexity within the supply chain, this study has developed a unified supply chain complexity (SCC) index and validated its utility by examining the relationship with firm performance. More importantly, it examines the role of firm owners' business knowledge, sales strategy and board management on the relationship between SCC and firm performance.

In this study, the unit of analysis is Indian manufacturing companies listed on the Bombay Stock Exchange (BSE). This research has merged panel data from two secondary data sources: Bloomberg and Prowess and empirically operationalized five key SCC drivers, namely, number of suppliers, the number of supplier countries, the number of products, the number of plants and the number of customers. The study employs panel data regression analyses to examine the proposed conceptual model and associated hypotheses. Moreover, the present study employs models that incorporate robust standard errors to account for heteroscedasticity.

The results show that complexity has a negative and significant effect on firm performance. Further, the study reveals that an owner's business knowledge and the firm's effective sales strategy and board management can significantly lessen the negative effect of SCC.

This study develops an SCC index and validates its utility. Also, it presents a novel idea to operationalize the measure for SCC characteristics using secondary databases like Prowess and Bloomberg.

Visual aesthetics are a vital aspect of environmental quality. The objective of this study is to demonstrate the implementation of visibility analysis and visual quality standards on a campus to enhance productivity and effectiveness.

This study has identified the most crucial and valuable metrics for evaluating the visual quality of open spaces through an analysis of theoretical foundations and relevant background information. To achieve research goal, a multi-method approach was employed, incorporating a survey, user satisfaction ratings and ISOVIST simulation techniques. Specifically, this study focused on assessing the quality of open spaces in three open areas located on the campus of the Iran University of Science and Technology.

Based on the study’s findings, the most significant factors that students considered when evaluating the visual quality of open spaces on the Iran University of Science and Technology campus were green areas, gathering spaces and architectural elements such as furniture, color and texture. Among the three open areas examined, “Open Space One” was identified as the most satisfactory location for students. According to the study, “sensory richness,” “complexity” and “mystery” were significant indicators of students' satisfaction in this area. This area also had the widest radius and field of view feasible, which gave it a feeling of openness and spaciousness.

This study explores the influence of students' experiences, behavioral patterns and visual analyses on their use of open spaces on university campuses, with a focus on the Iran University of Science and Technology. By assessing students' satisfaction levels with these spaces, this research provides valuable insights that can guide the initial analysis stage before the design process and facilitate design optimization during the development stages. The results highlight the importance of considering user experiences and visual analysis when planning and creating open spaces on university campuses.

Highlights

1. Conducting an initial analysis before developing a design plan can be very helpful in understanding how users think and behave.

2. The three criteria of visual quality that have the strongest correlation with students' satisfaction with “open space” are “mystery,” “sensory richness” and “complexity.”

3. Two factors, namely the “radius of vision” and the “area” index, significantly influence students' satisfaction with open spaces.

4. Outdoor designers should incorporate “green space” and “gathering spaces” into their designs since the presence of these is effective in attracting and satisfying students.

5. The number of people using an open space has little to do with how satisfied students are with it.

6. Half of the students use open areas between 11:00 and 14:00, so the provision of “canopy” and “shelter” in these spaces is essential.

Conducting an initial analysis before developing a design plan can be very helpful in understanding how users think and behave.

The three criteria of visual quality that have the strongest correlation with students' satisfaction with “open space” are “mystery,” “sensory richness” and “complexity.”

Two factors, namely the “radius of vision” and the “area” index, significantly influence students' satisfaction with open spaces.

Outdoor designers should incorporate “green space” and “gathering spaces” into their designs since the presence of these is effective in attracting and satisfying students.

The number of people using an open space has little to do with how satisfied students are with it.

Half of the students use open areas between 11:00 and 14:00, so the provision of “canopy” and “shelter” in these spaces is essential.