System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jagan Mohan Reddy K. ◽  
Neelakanteswara Rao A. ◽  
Krishnanand Lanka ◽  
PRC Gopal
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Cycle Time ◽  
Production System ◽  
Demand Uncertainty ◽  
Production Systems ◽  
Decision Variable ◽  
Content Type ◽  
Pull Production ◽  
Kanban System

Purpose Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty. Design/methodology/approach In this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios. Findings From the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible. Research limitations/implications In a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size. Originality/value This study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

scholarly journals A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

2022 ◽  
Vol 14 (2) ◽  
pp. 697
Author(s):  
Chen-Yang Cheng ◽  
Shu-Fen Li ◽  
Chia-Leng Lee ◽  
Ranon Jientrakul ◽  
Chumpol Yuangyai
Keyword(s):  
Cycle Time ◽  
Performance Optimization ◽  
Production System ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Optimization Technique ◽  
Production Lines ◽  
Work In Process ◽  
Pull Production ◽  
Solar Silicon

In the solar silicon manufacturing industry, the production time for crystal growth is ten times longer than at other workstations. The pre-processing time at the ingot-cutting station causes work-in-process (WIP) accumulation and an excessively long cycle time. This study aimed to find the most effective production system for reducing WIP accumulation and shortening the cycle time. The proposed approach considered pull production systems, and the response surface methodology was adopted for performance optimization. A simulation-based optimization technique was used for determining the optimal pull production system. The comparison between the results of various simulated pull production systems and those of the existing solar silicon manufacturing system showed that a hybrid production system in which a kanban station was installed before the bottleneck station with a CONWIP system incorporated for the rest of the production line could reduce the WIP volume by 26% and shorten the cycle time by 16% under the same throughput conditions.

scholarly journals On data leakage from non-production systems

2017 ◽  
Vol 25 (4) ◽  
pp. 454-474
Author(s):  
Jacqueline Cope ◽  
Francois Siewe ◽  
Feng Chen ◽  
Leandros Maglaras ◽  
Helge Janicke
Keyword(s):  
Production System ◽  
Production Systems ◽  
Human Interaction ◽  
Production Data ◽  
Business Systems ◽  
Sensitive Data ◽  
Process Flow ◽  
Content Type ◽  
Practical Solution ◽  
Production Environments

Purpose This study is an exploration of areas pertaining to the use of production data in non-production environments. During the software development life cycle, non-production environments are used to serve various purposes to include unit, component, integration, system, user acceptance, performance and configuration testing. Organisations and third parties have been and are continuing to use copies of production data in non-production environments. This can lead to personal and sensitive data being accidentally leaked if appropriate and rigorous security guidelines are not implemented. This paper aims to propose a comprehensive framework for minimising data leakage from non-production environments. The framework was evaluated using guided interviews and was proven effective in helping organisation manage sensitive data in non-production environments. Design/methodology/approach Authors conducted a thorough literature review on areas related to data leakage from non-production systems. By doing an analysis of advice, guidelines and frameworks that aims at finding a practical solution for selecting and implementing a de-identification solution of sensitive data, the authors managed to highlight the importance of all areas related to sensitive data protection. Based on these areas, a framework was proposed which was evaluated by conducting set of guided interviews. Findings This paper has researched the background information and produced a framework for an organisation to manage sensitive data in its non-production environments. This paper presents a proposed framework that describes a process flow from the legal and regulatory requirements to data treatment and protection, gained through understanding the organisation’s business, the production system, the purpose and the requirements of the non-production environment. The paper shows that there is some conflict between security and perceived usability, which may be addressed by challenging the perceptions of usability or identifying the compromise required. Non-production environments need not be the sole responsibility of the IT section, they should be of interest to the business area that is responsible for the data held. Originality/value This paper proposes a simplified business model and framework. The proposed model diagrammatically describes the interactions of elements affecting the organisation. It highlights how non-production environments may be perceived as separate from the business systems, but despite the perceptions, these are still subject to the same legal requirements and constraints. It shows the interdependency of data, software, technical infrastructure and human interaction and how the change of one element may affect the others. The proposed framework describes the process flow and forms a practical solution in assisting the decision-making process and providing documentary evidence for assurance and audit purposes. It looks at the requirements of the non-production system in relation to the legal and regulatory constraints, as well as the organisational requirements and business systems. The impact of human factors on the data is also considered to bring a holistic approach to the protection of non-production environments.

Service capacity coordination in IT services supply chain

2018 ◽  
Vol 13 (4) ◽  
pp. 952-972 ◽  
Author(s):  
Sanjay Kumar Prasad ◽  
Ravi Shankar
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Degree Of Substitution ◽  
Future Research ◽  
It Services ◽  
Two Stage ◽  
Content Type ◽  
Optimal Capacity ◽  
Automated Software ◽  
Capacity Cost

Purpose The purpose of this paper is to investigate capacity coordination in services supply chain (SSC). It provides discussion and application of various contracts in a two-stage single period SSC. Design/methodology/approach This paper considers a two-stage serial supply chain with demand uncertainty and price insensitivity. A model is developed to represent a global IT SSC incorporating services specific factors like over-capacity cost and higher degree of substitution resulting in flexibility to meet unplanned demand. At first, centralized and competitive solutions of the model are studied. Then, the paper studies coordination in this supply chain using some of widely used contract templates. Findings This paper finds several key insights for the researchers and practitioners in this area around adverse impact of over-capacity cost on demand, positive effect of delivery team’s exposure to market on contracting terms and better understanding of efficient frontiers for selected contracting mechanism. Research limitations/implications This paper has limited its analysis to three key and most widely used contracts and made assumptions about risk-neutrality of the firms. Future research can study other contracting templates and/or relax for the model as laid out in this paper. Practical implications An automated software agent can be built leveraging the closed form equations developed here to help decide on optimal capacity investment and devise coordinating contracts. Originality/value This paper established that because of higher degree of substitution, perishability and non-trivial over-capacity cost, SSC behave bit differently than the physical goods supply chain and coordination of participating firms needs to be studied in a services specific context for improving system-wide performance.

Comparative analysis of ranking the lean supply chain enablers: An AHP, BWM and fuzzy SWARA based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hemant Sharma ◽  
Nagendra Sohani ◽  
Ashish Yadav
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Lean Manufacturing ◽  
Production Systems ◽  
Initial Step ◽  
Content Type ◽  
Lean Practices ◽  
Manufacturing Organization ◽  
Good Productivity ◽  
Lean Supply Chain

PurposeIn the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as its basic nature is to eliminate the wastes. The increasing interest of customers in customized products and the fulfillment of customers’ demand with good productivity and efficiency within time are the challenges for the manufacturing organization; that is why adopting lean manufacturing concept is very crucial in the current scenario.Design/methodology/approachIn this paper, the authors considered three different methodologies for fulfilling the objective of our research. The analytical hierarchy process, best–worst method and fuzzy step-wise weight assessment ratio analysis are the three methods employed for weighting all the enablers and finding the priority among them and their final rankings.FindingsFurther, the best results among these methodologies could be used to analyze their interrelationships for successful lean supply chain management implementation in an organization. In this paper, 35 key enablers were identified after the rigorous analysis of literature review and the opinion of a group of experts consisting of academicians, practitioners and consultants. Thereafter, the brainstorming sessions were conducted to finalize 28 lean supply chain enablers (LSCEs).Practical implicationsFor lean manufacturing practitioners, the result of this study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process.Originality/valueThis paper is the first of the research papers that considered deep literature review of identified LSCEs as the initial step, followed by finding the best priority weightage and developing the ranking of various lean enablers of supply chain with the help of various methodologies.

A three-dimensional framework for multi-tier sustainable supply chain management

2018 ◽  
Vol 23 (6) ◽  
pp. 560-572 ◽  
Author(s):  
Philipp C. Sauer ◽  
Stefan Seuring
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Institutional Theory ◽  
Demand Uncertainty ◽  
Management Practices ◽  
Three Dimensional ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

Purpose This study aims to investigate the under-researched role of the sub-supplier’s direct environment in achieving compliance with multi-tier sustainable supply chain management (MT-SSCM) objectives. Design/methodology/approach Building on conceptual research, this study aims to generalize the characteristics of multi-tier supply chains in light of institutional theory and supply chain (SC) uncertainty to enhance the understanding of their complex interrelationship. Findings A three-dimensional framework is built around the supply and demand uncertainty as well as the pressures for sustainability exerted by the supplier’s direct environment to propose ideal constellations for the application of MT-SSCM. Moreover, research directions and implications for the alteration of suboptimal constellations are developed. Practical implications Incorporating the supplier’s environment in the choice of MT-SSCM practices couples the sustainability priorities of the focal firm and the supplier. This enables a more complete picture of the sustainability objectives and sustainable development aims of the SC partners. Originality/value On the basis of institutional theory, the study extends current MT-SSCM concepts by including the supplier’s direct environment in the choice of ideal management practices in a particular SC setup. It provides a definition of a multi-tier SC as an institutional field and a number of research implications regarding MT-SSCM as well as generic SSCM. Moreover, the proposed framework helps SC managers to understand the complex interplay of the SC partners’ sustainability aims and provides implications for choosing the most suitable MT-SSCM practices.

Manufacturing SMEs, network governance and global supply chains

2019 ◽  
Vol 27 (1) ◽  
pp. 130-147
Author(s):  
Tony Cragg ◽  
Tom McNamara ◽  
Irena Descubes ◽  
Frank Guerin
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Demand Uncertainty ◽  
Network Governance ◽  
Global Supply Chains ◽  
Informal Networks ◽  
Content Type ◽  
Case Research ◽  
Effective Form ◽  
Supply Chain Governance

Purpose The purpose of this paper is to investigate how small manufacturing firms develop and manage relationships with global suppliers and distributors. In so doing the authors aim to contribute to knowledge about SMEs and supply chain management (SCM). Design/methodology/approach The authors conducted 12 in-depth case studies of SME final assemblers of machinery in the French farm equipment sector. Findings The most effective form of global supply chain governance used by successful SMEs is informal networks involving managers in similar complementary firms, which serve to concatenate links with foreign suppliers and distributors. Research limitations/implications The principal limitation of this research is that it is specific to one sector and therefore questions of transferability are raised. Practical implications The important implication for managers in manufacturing SMEs is that links with other complementary local firms in the same sector need to be developed, leveraged and valued. Originality/value The originality of this case research is that the authors draw on inter-organisational boundaries, power asymmetries and network governance to develop a conceptual framework for the study of SMEs and global supply chains. By focusing on the perceptions of boundary-spanning managers, the authors show how, in circumstances of demand uncertainty, soft network governance is an effective strategic choice.

The impact of supply chain fit on business and innovation performance in Brazilian companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Zimmermann ◽  
Luis Miguel D.F. Ferreira ◽  
Antonio Carrizo Moreira ◽  
Ana Cristina Barros ◽  
Henrique Luiz Correa
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Demand Uncertainty ◽  
Supply And Demand ◽  
Empirical Studies ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

The impact of using a cloud supply chain on organizational performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Meichun Lin ◽  
Chinho Lin ◽  
Yong-Sheng Chang
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Cycle Time ◽  
Supply Management ◽  
Management Systems ◽  
Chain Management ◽  
Content Type ◽  
Time Performance ◽  
Computing Services ◽  
Cloud Computing Services

Purpose This study aims to indicate the advantages of using cloud computing services, including the ways in which firms use cloud-based services to achieve accessibility, better communication, flexibility and effective provision of services. However, little evidence has been obtained related to the effectiveness of applying cloud computing services to supply management chains. Design/methodology/approach In this study, a sample of 223 top 1,000 manufacturing firms in Taiwan that had implemented cloud-based supply chain management systems (CSCMs) was surveyed to determine what kind of internal resources in these companies were allocated to this implementation effort, how collaborative relationships were established in the existing supply chain to help make the transitions successful, how well their systems are working now that they have been implemented and whether these new systems have improved cycle time performance and the overall performance of their organizations. The study also examines the interrelationships among these variables. Findings The results reveal that, from the perspective of the managers who were surveyed, an effective allocation of internal organizational resources does have a positive, strong effect on external CSCM conditions. They also showed that when the relationship between internal and external resources is well constructed, the result is that CSCM improves supply chain management cycle time performance, which, in turn, leads to positive organizational performance. Originality/value The study reports some useful insights from the managers of CSCM systems related to how the execution of CSCM solutions can improve cycle time and organizational performance by enhancing internal organizational management and joint collaboration among supply chain partners. The findings from this survey will be useful to managers who are considering creating cloud-based supply management systems in the future.

Exploring information sharing in the extended supply chain: an interdependence perspective

2015 ◽  
Vol 20 (4) ◽  
pp. 455-470 ◽  
Author(s):  
Joakim Kembro ◽  
Kostas Selviaridis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Demand Uncertainty ◽  
Analytical Framework ◽  
Content Type ◽  
Related Information ◽  
Market Shares ◽  
Shared Information ◽  
Meta Information

Purpose – This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach – Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings – The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications – The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications – Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value – This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.

scholarly journals Dynamics of Salmonella Shedding and Welfare of Hens in Free-Range Egg Production Systems

2016 ◽  
Vol 83 (5) ◽  
Author(s):  
Vaibhav C. Gole ◽  
Rebecca Woodhouse ◽  
Charles Caraguel ◽  
Talia Moyle ◽  
Jean-Loup Rault ◽  
...  
Keyword(s):  
Production System ◽  
Salmonella Enterica ◽  
Egg Production ◽  
Production Systems ◽  
Most Probable Number ◽  
Probable Number ◽  
Content Type ◽  
Free Range ◽  
Phage Types ◽  
Positive Correlations

ABSTRACT The current study investigated the effect of environmental stressors (i.e., weather changes) on Salmonella shedding in free-range production systems and the correlations with behavioral and physiological measures (i.e., fecal glucocorticoid metabolites). This involved longitudinal and point-in-time surveys of Salmonella shedding and environmental contamination on four commercial free-range layer farms. The shedding of Salmonella was variable across free-range farms and in different seasons. There was no significant effect of season on the Salmonella prevalence during this investigation. In this study, the combined Salmonella most probable number (MPN) counts in environmental (including feces, egg belt, dust, nest box, and ramp) samples were highest in samples collected during the summer season (4th sampling, performed in February). The predominant serovars isolated during this study were Salmonella enterica serovar Mbandaka and Salmonella enterica serovar Typhimurium phage types 135 and 135a. These two phage types were involved in several egg product-related Salmonella outbreaks in humans. Multilocus variable-number tandem-repeat analysis (MLVA) results indicated that MLVA types detected from human food poisoning cases exhibited MLVA patterns similar to the strains isolated during this study. All Salmonella isolates (n = 209) were tested for 15 different genes involved in adhesion, invasion, and survival of Salmonella spp. We also observed variations for sopA, ironA, and misL. There were no positive correlations between fecal corticosterone metabolite (FCM) and Salmonella prevalence and/or shedding in feces. Also, there were no positive correlations between Salmonella prevalence and Salmonella count (log MPN) and any of the other welfare parameters. IMPORTANCE In this study, the welfare of laying hens and Salmonella shedding were compared over a prolonged period of time in field conditions. This study investigated the long-term shedding of Salmonella serovars in a free-range egg production system. Given that there is increasing demand for free-range eggs, it is essential to understand the risks associated with such a production system.

Sign in / Sign up

Export Citation Format

Share Document