Implementation of just-in-time methodology in a small company

This paper describes the implementation of JIT in a small manufacturing company and the benefits that resulted for the company's operations. Preliminary analysis identified various problems in the existing manufacturing operations. The pre-implementation and post-implementation conditions of the company arc detailed. The achievements of the JIT implementation included a reduction in material traversing, reduced lead limes and inventories leading to an overall reduction in the cost of manufacturing. A smooth flow of material from the raw material stage to the finished product stage was established. Three separate product lines were combined into a flexible manufacturing assembly line. With the adoption of a holistic approach to JIT implementation, it was found that even a small company can make significant strides towards world class manufacturing status. The experience gained by the company can encourage and benefit other small companies to embrace the JIT approach.     

A comparative analysis of due date based job sequencing rules in a flow shop with multiple processors

The literature on job scheduling recognizes the importance of due date performance criteria such as mean tardiness and maximum tardiness. A number of studies test a large number of sequencing rules for these criteria in job shop and flow shop settings. The object of this present research is to examine the performance of some well-known priority rules in a flow shop with multiple processors. This study investigates the performance of ten priority rules in terms of mean and maximum tardiness. It examines the effects of problem characteristics, such as number of jobs, number of machines stages and number of parallel processors at each stage, and the performance of priority rules using regression analysis. The findings of the study suggest that the primary determinants of tardiness-based criteria are problem characteristics. In addition, both the regression analysis and the analysis of variance provide strong evidence of the strategy-effect. Finally, a detailed performance review of examined priority rules for various problem characteristics is presented.     

The effect of the drum-buffer-rope (DBR) approach on the performance of a synchronous manufacturing system (SMS)

The main objective of any manufacturing system is to organize the resources in a shop floor for effective transformation of raw materials into finished products. Synchronous manufacturing (SM) is a manufacturing management philosophy that has a set of principles, procedures and techniques where every action is evaluated in terms of a common global goal of the organization (Seetharama et al., 1997, Production Planning and Inventory Control). A manufacturing system that adopts the above principle is called as synchronous manufacturing system (SMS). In order for a manufacturing plant to achieve the benefits of a synchronous operation, a logistical manufacturing (SM) is a manufacturing management philosophy that has a set of principles, procedures and techniques where every action is evaluated in terms of a common global control system that is manageable and results in predictable performance is required. The drum-buffer-rope (DBR) approach, which is a generalized system, satisfies the above requirements through computer simulation. This paper focuses on the effect of DBR principles on the performance of a synchronous manufacturing system. A case study has been taken up in a small-scale industry and analysis has been carried out on the effect of the DBR approach on the performance of the system. This work has been performed on an IBM/PC compatible system using the promodel software and C language.     

The impact of timely information on organisational performance in a supply chain

Information produced by ERP systems is termed JIT-information, since it is provided at the right time in the right place with a minimum of waste. The JIT-information construct is defined and described and a measurement scale is developed. A JIT-information performance model is proposed and assessed using a structural equation modelling methodology. The results indicate that the model fits the data well: (1) supply chain management strategy positively impacts JIT-information, (2) JIT-information directly impacts both logistics and organisational performance, and (3) logistics performance directly impacts organisational performance.     

Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies

Abstract

In this contribution, we aim to prioritise the indicators to enhance the organisational supply chain’s (SC) effectiveness from an industrial perspective. It will help industries to develop strategies for managing the SC effectively and ensuring improvement in performance continuously. To achieve this, this work proposes to use a two-phase research methodology. First, 36 SC performance improvement indicators are recognised from a literature survey and from field and industrial expert’s inputs. Secondly, a structural model is proposed using the fuzzy analytical hierarchy process (AHP) to prioritise the indicators strategically to improve the SC performance. The fuzzy AHP method helps determine the priority of concerns of the identified indicators under fuzzy surroundings. Inputs in this research are taken from four ancillary Indian plastic manufacturing firms. Research findings indicate that collaborations and information exchange dimension indicators obtained the highest priority in improving SC performance. The model proposed is considered very useful for the SC managers/practitioners/decision-makers to understand better and distinguish the essential SC performance improvement indicators and to take systematic decisions specifically to improve the performance of business in a SC context. Sensitivity analysis was conducted to examine the priority ranking of the indicators.     

Assessing the cumulative effects of stress: The association between job stress and allostatic load in a large sample of Chinese employees

Job stress can lead to various system dysfunctions, but until now no reliable biomarkers for its assessment have been identified. Allostatic load (AL) is an index that enables the cumulative effect on the body of chronic stress to be assessed, and is derived from a set of relevant biological measures. In this study, a 13-parameter index (building on the original 10-item index) was used to examine the relationship between job strain and AL. Participants were 1219 healthy Chinese employees. Job strain was measured using the Job Content Questionnaire, and AL was assessed by various possible stress responses, including blood pressure, cholesterol, indicators of glucose metabolism, and hormone and inflammation markers. AL in the high job strain group differed sharply from that in the low job strain group. The AL score was positively associated with age and educational level. Several individual parameters also differed between the two groups. Men scored significantly higher on AL and cardiovascular and metabolic health outcomes, whereas for women the associations appeared in the biological indicators. Analyses indicated that decision latitude (DL) and job demands were significantly related to AL. Job demands correlated significantly with the primary biological indicators and DL with the secondary health outcomes. In conclusion, this study provides evidence of the value of measuring allostatic load in assessing the chronic effects of job stress.     

Assessing the cumulative effects of stress: The association between job stress and allostatic load in a large sample of Chinese employees

Abstract

Job stress can lead to various system dysfunctions, but until now no reliable biomarkers for its assessment have been identified. Allostatic load (AL) is an index that enables the cumulative effect on the body of chronic stress to be assessed, and is derived from a set of relevant biological measures. In this study, a 13-parameter index (building on the original 10-item index) was used to examine the relationship between job strain and AL. Participants were 1219 healthy Chinese employees. Job strain was measured using the Job Content Questionnaire, and AL was assessed by various possible stress responses, including blood pressure, cholesterol, indicators of glucose metabolism, and hormone and inflammation markers. AL in the high job strain group differed sharply from that in the low job strain group. The AL score was positively associated with age and educational level. Several individual parameters also differed between the two groups. Men scored significantly higher on AL and cardiovascular and metabolic health outcomes, whereas for women the associations appeared in the biological indicators. Analyses indicated that decision latitude (DL) and job demands were significantly related to AL. Job demands correlated significantly with the primary biological indicators and DL with the secondary health outcomes. In conclusion, this study provides evidence of the value of measuring allostatic load in assessing the chronic effects of job stress.     

An approach to learning from both good and poor factory performance in a Kanban-based just-in-time production system

In a JIT manufacturing environment it may be desirable to learn from an archived history of data that contains information that reflects less than optimal factory performance. The purpose of this paper is to use rule induction to predict JIT factory performance from past data that reflects both poor (saturated or starved) and good (efficient) factory performance. Inductive learning techniques have previously been applied to JIT production systems (Markham et al. , Computers and Industrial Engineering, 34 , 717-726, 1998; Markham et al. , International Journal of Manufacturing Technology Management, 11 (4), 239-246, 2000), but these techniques were only applied to data sets that reflected a well-performing factory. This paper presents an approach based on inductive learning in a JIT manufacturing environment that (1) accurately classifies and predicts factory performance based on shop factors, and (2) identifies the important relationships between the shop factors that determine factory performance. An example application is presented in which the classification and regression tree (CART) technique is used to predict saturated, starved or efficient factory performance based on dynamic shop floor data. This means that the relationship between the variables that cause poor factory performance can be discovered and measures to assure efficient performance can then be taken.     

高管团队职能异质性与企业绩效关系研究:基于管理者认知和团队冲突的中介分析

高管团队的职能特征如何反映到企业绩效中一直是管理领域研究的重点,但是其实证检验结果呈现出复杂化的特征,一致性的结论尚未达成。本文从高阶梯理论和信息处理理论出发,较为全面地探索高管团队职能异质性如何影响企业绩效。研究结果表明:(1)高管团队职能异质性对企业绩效水平有负向的影响;(2)高管团队职能异质性会显著促进管理者认知集中性和复杂性的提高;(3)管理者认知集中性和复杂性的提高会进一步促进绩效水平的提高;(4)管理者认知是高管团队职能异质性影响企业绩效水平的中介机制;(5)高管团队职能异质性的提高会显著促进团队冲突的提高;(6)团队冲突的增强会抑制企业绩效水平的提高;(7)团队冲突是职能异质性影响企业绩效水平的中介机制。     

The integration of TQM and technology/R&D management in determining quality and innovation performance

This paper presents an empirical study which examines the co-alignment between Total Quality Management (TQM) and technology/research and development (R&D) management in predicting organizational performance in terms of quality and innovation. This study improves our understanding of the relationship between TQM and innovation based on the following two major issues. First, this study contributes to the understanding of the co-alignment between TQM and technology management along with R&D management by bridging the gap between the two areas which are often addressed in a separate fashion. Second, this study also examines the impact of the integration between TQM and technology/R&D on quality and innovation performance which have been considered as the primary sources of a competitive advantage. The empirical data was drawn from 194 Australian organizations and analyzed using the Structural Equation Modeling (SEM) technique. The findings indicate that TQM shows a strong predictive power against quality performance but no significant relationship against innovation performance. On the other hand, technology and R&D management shows a significant relationship with quality performance but at a lower level than that of TQM, and shows much stronger relationship with innovation performance. In addition, there is strong and positive correlation between TQM and technology/R&D management. The major implication of this study is that technology/R&D management is an appropriate resource to be used in harmony with TQM to enhance organizational performance, particularly innovation.     

The use of a personal development plan and the undertaking of learning activities,expertise-growth,flexibility and performance: the role of supporting assessment conditions

In the current search for tools that encourage and assess learning and development, personal development plans (PDPs) are being used ever more frequently by organizations. A PDP is an assessment tool used by the employee to reflect on, to document the competencies s/he has been working on and to present his/her plans for further development. This study conducted among employees working in a governmental organization in the Netherlands (N = 287) focused on the PDP practice as conceptualized by three supporting conditions: learning and reflection, information and feedback and the motivating supervisor. It examined which of these features enhance the undertaking of learning activities, expertise-growth, flexibility towards changing circumstances and performance. Results from the hierarchical regression analyses indicate that a motivating supervisor, information and feedback and reflection by the employee on the basis of his/her PDP affect whether or not a PDP contributes to the four measured output variables. Next, by conducting mediation analyses evidence is found for the mediating role of undertaking learning activities in the relation between the PDP practice and two output variables.     

The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data

R&D (Research and Development) activities represent the basic core of corporate science and technology activities, and play a crucial role in enhancing the ability of companies to achieve rapid and sustainable growth. In recent years, the total R&D investments in China have increased significantly and the proportion of the industrial investments in R&D activities relative to national R&D investments has increased rapidly. In order to investigate the effectiveness of these R&D investments, we utilize Data Envelopment Analysis (DEA) models to evaluate the relative efficiencies of 30 regional R&D investments using the First Official China Economic Census Data in 2004. Our investigation and study indicate the following: (1) Only six provinces are global technical efficient and the performance of regional R&D investments in China needs to improve dramatically. (2) Increasing returns to scale have not yet occurred in any province. Constant returns to scale have prevailed in most provinces in the Western region, and decreasing returns to scale have prevailed in most provinces in the Eastern and Central regions. (3) There are no direct relationships between global technical efficiency and the amount of R&D investment. The Western region has the highest average radial efficiency score, followed by the Eastern region, and then by the Central region. (4) The Eastern region has advantages in local technical efficiency, the Western region has advantages in scale efficiency, while the Central region has neither technical efficiency advantages nor scale efficiency advantages. Suggestions are proposed to improve efficiencies of regional R&D investments.     

CSR投入对闭环供应链定价与协调决策的影响

研究了供应链成员的社会责任（CSR）投入行为对闭环供应链决策的影响。考虑了闭环供应链中以下四种不同的CSR投入方式：（1）无CSR投入;（2）制造商投入CSR;（3）零售商投入CSR;（4）制造商和零售商同时投入CSR。通过对比不同模型的均衡决策和利润,发现制造商和零售商同时进行CSR投入的方式对闭环供应链决策成员和系统均最有利,而零售商投入CSR的方式优于制造商投入CSR方式。其次,以集中化决策模型的最优结果为基准,探讨了不同CSR投入方式下分散化闭环供应链系统的协调机制设计问题。结果表明：两部定价契约能有效实现CSR约束的闭环供应链的协调;且在制造商与零售商同时投入CSR决策情形,契约中制造商的议价能力最弱,零售商的议价能力最强。最后,通过算例分析了模型中关键参数对闭环供应链均衡决策与利润的影响,并进一步对闭环供应链协调的性能进行了分析。     

战略国际人力资源管理与企业绩效关系研究——基于在华跨国企业的经验证据

企业国际化中人力资源实践如何影响绩效,既是一个国际企业管理问题,更是人力资源管理领域的中心问题;因为任何一种国际化战略的成功都离不开恰当的人力资源管理方式,而成功的跨国公司对人力资源管理的导向选择也主要取决于它能否更好地支撑其国际化战略的实施.本文以100家在华跨国企业为研究样本,在战略国际人力资源管理(SIHRM)的框架下,将人力资源管理系统和国际化程度对企业绩效的影响作为主要研究问题,构建层级回归模型,通过实证检验考察人力资源管理与企业绩效的关系.研究结果表明,企业绩效不仅同人力资源管理与企业战略的整合程度有关,而且同人力资源管理系统与国际化程度之间存在积极的联系.该研究结论为中国企业在国际化过程中如何实施有效的战略国际人力资源管理以提升组织绩效并获取持续竞争优势提供借鉴与参考.