Location-inventory-routing model with considering urban road networks

Purpose: To develop LIRP (location-inventory-routing problem) model with considering multiple links and solve it using method of heuristic based on algorithm of simulated annealing. Method of heuristic for the LIRP model is applied in city of Jakarta to improve effectiveness and efficiency of the food supply chain.Design/methodology/approach: The LIRP model is developed using main references. To solve the model, this paper develops two methods, namely method of optimal and method of heuristic. Computational experiments are performed to obtain the efficiency of the method of heuristic. New design of food supply chain is resulted from the application of the method of heuristic in city of Jakarta.Findings: The new design of food supply chain resulted from the application of LIRP model in city of Jakarta reduces total cost by 18%, increases availability from 76% to 95%, and reduces the number of vehicles by 73%. This paper also shows that distance is not the only consideration to decide the traversed links in cities.Research limitations/implications: Average gap between method of heuristic and method of optimal in terms of total cost is 3.1%.Practical implications: Government of city of Jakarta can improve effectiveness and efficiency of the food supply chain by implementing the LIRP model.Social implications: Citizens of Jakarta are well provided with their needs of vegetables and fruits.Originality/value: The first LIRP model that considers multiple links to represent road networks in cities. The LIRP model developed in this paper consists of probabilistic demands, multi products, and multi echelons. Traditional markets, UCCs (urban consolidation centers) and province of suppliers are the places where decisions of inventory made.

Dynamic simulation methodology for implementing circular economy: A new case study

Purpose: Circular economy (CE) principles have evolved in response to natural resource depletion as a set of guidelines for eliminating the linear take-use-dispose model of product consumption. The consequences of shifting from a linear to a circular supply chain are difficult to visualize in the long term. This study aims to design a methodology for building a simulation model to implement CE strategies in any small and medium-sized enterprise SME to prove policies before implementing them in the real world. This paper applied the methodology in a biological cycle case study: a confectionery factory in Mexico.Design/methodology/approach: This study evaluated service-dominant logic, ecosystem services, system dynamics, and agent-based modeling to design the proposed methodology. A series of interviews with stakeholders were performed to assess the simulation model during the development phase. The circular economy indicator prototype (CEIP) was used as a circular maturity measure of the confectionery factory. The simulator was executed in Netlogo software, implementing a four-scenario analysis based on two CE policies for the caramel recycling process. Five state variables were proposed in this analysis: confectionery waste, recycled glucose, recycling utilization, costs of recycled glucose, and profit.Findings: The CEIP score of the confectionery factory was 52%, rated as a “good” product. Regarding scenario analysis, the first scenario had the highest profit improvement.Practical implications: The simulator allowed stakeholders to understand the operation of the recycling process and visualize all variables involved in the system.Originality/value: In the CE literature, little attention has been paid to proposing a methodology for designing a simulation model to implement CE strategies in any industry. Thus, this study implements a nine-step methodology based on services context and dynamic simulation tools to design a platform to evaluate and visualize the consequences of CE strategies implementation in the long term.

Adaptations in SCOR based performance metrics of airline catering supply chain during COVID-19 pandemic

Purpose: There is the propensity of the Airline catering supply chain to adapt their performance measures in order to meet desired service level due to the challenges of the Covid-19 pandemic. The aim of this paper is to develop a set of metrics for airline catering organization and explore the choices of SCOR based performance metrics during the Covid-19 pandemic.Design/methodology/approach: The SCOR framework is applied in the context of the airline catering supply chain to develop performance metrics. In this case study, the performance metrics model is analysed and validated by experts. Then, metrics are prioritised using MoSCoW method based on the experience of the Covid-19 challenges.Findings: A hierarchical performance measure framework is proposed, and a set of 55 metrics is identified. The validation of these metrics recognises the initial work. With the prioritisation, 13 level-2 & level-3 metrics are considered necessary in addition to 7 level-1 metrics to mitigate Covid-19 pandemic challenges better. Research limitations/implications: This research is based on a single case study. The validation is restricted to a small sample size.Practical implications: With the development of performance metrics and prioritization, airline catering organisation able to monitor their catering logistics performance.Originality/value: The work contributes to the measurement of performance in airline catering logistics, and adapted metrics would help business to be more responsive and flexible as per the market changes to alleviate Covid-19 challenges.

Continuous improvement and business sustainability in companies of an emerging market: Empirical analysis

Purpose: The article analyses the impact of continuous improvement (system and teams) on business sustainability dimensions (social, environmental, operational and financial) as a competitive strategy to create value for all stakeholders in emerging economy context.Design/methodology/approach: The data collected is from 120 companies of different sizes and 13 different industrial sectors such as food, energy, health, financial services, and logistics in Colombia. The design of multivariate logistic regression is to identify the critical aspects of the continuous improvement practices that significantly affect the dimensions of business sustainability.Findings: The analysis shows that from continuous improvement aspects (system and teams), employee involvement, human talent maintenance, training, and evaluation accompanied by feedback impact business sustainability. These elements impact financial and operational dimensions significantly but in the environmental and social aspects with less intensity.Research limitations/implications: Research is limited to the general sustainability analysis applying resource-based strategy in Colombia. Practical implications: Generate overall awareness of the importance of the equilibrium of sustainability dimensions in strategic planning and implementation in emerging economies.Originality/value: This work applies an empirical study to establish the impact of continuous improvement (system and teams) on each of the business sustainability dimensions (social, environmental, operational and financial) in companies of emerging economies.

Time and space multi-manned assembly line balancing problem using genetic algorithm

Purpose: Time and Space assembly line balancing problem (TSALBP) is the problem of balancing the line taking the area required by the task and to store the tools into consideration. This area is important to be considered to minimize unplanned traveling distance by the workers and consequently unplanned time waste. Although TSALBP is a realistic problem that express the real-life situation, and it became more practical to consider multi-manned assembly line to get better space utilization, few literatures addressed the problem of time and space in simple assembly line and only one in multi-manned assembly line. In this paper the problem of balancing bi-objective time and space multi-manned assembly line is proposedDesign/methodology/approach: Hybrid genetic algorithm under time and space constraints besides assembly line conventional constraints is used to model this problem. The initial population is generated based on conventional assembly line heuristic added to random generations. The objective of this model is to minimize number of workers and number of stations.Findings: The results showed the effectiveness of the proposed model in solving multi-manned time and space assembly line problem. The proposed method gets better results in solving real-life Nissan problem compared to the literature. It is also found that there is a relationship between the variability of task time, maximum task time and cycle time on the solution of the problem. In some problem features it is more appropriate to solve the problem as simple assembly line than multi-manned assembly line.Originality/value: It is the first article to solve the problem of balancing multi-manned assembly line under time and area constraint using genetic algorithm. A relationship between the problem features and the solution is found according to it, the solution method (one sided or multi-manned) is defined.

A framework for green supply chain management in construction sector: A case study in Indonesia

Purpose: In order to implement Green Supply Chain Management (GSCM to support the effort in reducing the environmental impact of the supply chain processes, a framework needs to be developed. This study aimed to propose a conceptual and holistic GSCM framework to represents a roadmap towards GSCM implementation by integrating all green supply chain practices by various stakeholders of construction sector in Indonesia.Design/methodology/approach: Green practices were obtained from an extensive literature review. Questionnaire survey of GSCM stakeholders in the construction sector was conducted to obtain the preference of green supply chain variables as the proxy for variable weighting and ranking. Pairwise Comparison (PWC) and Technique for Others Preference by Similarity to Ideal (TOPSIS) were adopted to analyze the weight and to rank the green practices respectively. The finding of PWC and TOPSIS were used to develop the framework.Findings: The implementation of the GSCM in the construction sector in Indonesia is mainly focused on reducing the use of hazardous materials, the management of waste at the project site, selling products and components that are no longer used, using video conferencing both inter- and intra-organization meetings, and support from the management level in the form EMS and ISO 14001 certification.Research limitations/implications: This study did not include other GSCM performances as criteria, such as operational and logistical performance.Practical implications: An efficient evaluation technique developed by the framework can be used in decision making policies by policy makers and stakeholders of the organization which can identify and prioritize the green practices for adoption of GSCM in the construction sectorOriginality/value: The originality of this research is that GSCM framework was developed with most relevant green practices based on ranking and weighting criteria as well as the main stakeholders involved.

Relationship between social culture, industry 4.0, and organizational performance in the context of emerging economies

Purpose: Was examined the relationship between social culture, Industry 4.0 technologies, and organizational performance in companies from emerging countries.Design/methodology/approach: Were chose medium and large companies from emerging Latin American economies. Colombia and Peru as the most advanced economies, and Ecuador for being in the first phase of growth. It was Data from 428 workers collected through online surveys. The data analysis was carried out using a Structural Equation Model.Findings: The results indicated a relationship between Industry 4.0 technologies and organizational performance and social culture and organizational performance. Furthermore, social culture does not mediate the relationship between Industry 4.0 technologies and organizational performance. Differences were also found among countries. Evidence is provided that Industry 4.0 technologies and social culture lead to better organizational performance.Practical implications: This study showed that, in the context of analysis, the level of maturity regarding the use of 4.0 technologies of medium and large companies is still incipient. Provides (1) information on cultural differences, mainly in the dimensions of Masculinity, Power Distance, and Individualism; and (2) guidelines on the use of Industry 4.0 technologies and their implication in Organizational Performance.Originality/value: The research results provide knowledge of the relationship between 4.0 technologies, social culture, and organizational performance in the context of emerging economies where the subject has been little investigated.

Assessment of the mediating effects of external integration on manufactury firms operational performance

Purpose: The purpose of this study was to assess the direct effect of supply chain integration on operational performance and the mediating effects of external integration on the relationship between internal integration and operational performance among manufacturing firms.Design/methodology/approach: Quantitative survey research design was adopted. A total of thirty (30) manufacturing firms were sampled using cluster sampling. The data was collected using questionnaires from 317 employees in the procurement, account and administration units of the 30 manufacturing firms. Structural Equation Modeling was used to analyze the direct and mediation relationships.Findings: The results showed that the relationship between internal integration and operational performance was significantly mediated by external integration. It was established that operational performance could only be achieved when manufacturing firms’ managers pay critical attention to internal and external integration. A Significant positive relationship also exists between supplier integration and operational performance as well as customer integration and operational performance.Originality/value: The unique contribution of the current study is the assessment of the mediating effect of external integration constructs (customer integration and supplier integration) as the mediating variable on internal integration and operational performance.

Development of an operational excellence framework for organisational performance improvement in the Sudanese aviation industry

Purpose: The purpose of this study is to investigate the Critical Success Factors (CSFs) for successful implementation of Operational Excellence (OE) by the organisations in the Sudanese aviation industry, as well as to determine the resulted impacts in the improved organisational performance and competitive advantage, and to quantify the benefits.Design/methodology/approach: The Critical Success Factors (CSFs) of OE were provided and dissected to reveal its integrated components and their importance levels. These factors include leadership, people management, continuous improvement, operational strategy, and asset optimisation. Also, the impacts (outcomes) further categorised in the four financial results, quality of products or services, efficiency, and satisfaction groups were presented, while the weight of each outcome was highlighted.Findings: With the OE's conceptual framework, the critical success factors to achieve OE were identified. Hence, from the five main factors, the expert panel members suggested the leadership factor to be the most important to achieve OE in the Sudanese aviation industry. Ranking of the five critical success factors and the forty sub factors provided a better understanding of the Sudan situation, specifically concerning the effective implementation of OE philosophy.Research limitations/implications: The findings of the sub-factors reported in this study were not enough. As a result, the future studies must focus on the detailed descriptions of sub-factors that are related to each of the critical factor identified. Practical implications: Efficiency in the organisations is generated and enhanced when the organisations become efficient in reducing the waste of time, raw materials, unnecessary processing, in addition to the energy used in transportation, storing, and operating plant. Besides, the state of effectiveness is achieved when the organisation achieves its long-term goals through increased customer satisfaction and is able to prove its reason for being. OE is critical as it assures both the efficiency and effectiveness of organisationsOriginality/value: The past research activities have relatively over-emphasised in the unilateral "result-driven" perspective of OE that corresponds with the limited concern for enablers, the critical forms and focus of OE. Thus, this issue is a shortcoming that this paper attempts to address.

An agile standardized work procedure for cleaning the operating room

Purpose: This research aimed to reduce the turnover time (non-operative time) in the operating room (OR) at a US Northwestern hospital. Design/methodology/approach: Data collection consisted of observation and interviews of the aides, circulating nurses, and surgical techs to identify causes of delays and long turnovers. It was determined that the turnover could be divided into two stages: cleaning the room and setting up for the next surgery. The research team met with the staff (aides) to create a standard operating procedure for the cleaning stage. It was decided to create an agile standard procedure that would allow the process to be completed the same way effectively with any number of people ranging from 1 to 3. The flexibility accounts for the number of people who are to complete the procedure and considers that some of them are only available during portions of the cleaning stage due to multiple turnovers or duties.Findings: The agile cleaning procedure reduced the cleaning time by 2.2 minutes (15.7% of the total time) and the standard deviation by 3.30 minutes. A decrease in variability represents more consistent turnovers, creating more predictable times for scheduling surgeries in the future.Originality/value: This research proposes a novel approach to standardized work that quickly adapts to the number of workers available. The agile standardized work procedure (ASWP) allows the process to be completed the same way every time effectively with any number of people.