Relationships among JIT practices: an interpretive modeling approach

Abstract

This research develops a model of relationships among components of Total-JIT, including JIT-information, JIT-manufacturing, JIT-purchasing, and JIT-selling, to establish an implementation hierarchy based on relative importance. The data collected relates to the relationships among JIT components and two performance measures, supply chain competency and organizational performance. Two groups are used in the research, one group of five operations management academics and another group of 30 practicing operations managers working in U.S. manufacturing firms. An interpretive structural modelling methodology is used to develop alternative structural models. The academics’ data show JIT-information emerging as lynchpin of relationships, directly impacting all other JIT practices and both performance measures. The practitioners’ data indicates that all JIT practices and performance measures are interactive as components and outcomes. This study is the first to apply interpretive structural modelling to investigate the interplay among total-JIT components and the performance measures of supply chain competency and organizational performance.     

Deep Uncertainties in Sea-Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management

Sea levels are rising in many areas around the world, posing risks to coastal communities and infrastructures. Strategies for managing these flood risks present decision challenges that require a combination of geophysical, economic, and infrastructure models. Previous studies have broken important new ground on the considerable tensions between the costs of upgrading infrastructure and the damages that could result from extreme flood events. However, many risk-based adaptation strategies remain silent on certain potentially important uncertainties, as well as the tradeoffs between competing objectives. Here, we implement and improve on a classic decision-analytical model (Van Dantzig 1956) to: (i) capture tradeoffs across conflicting stakeholder objectives, (ii) demonstrate the consequences of structural uncertainties in the sea-level rise and storm surge models, and (iii) identify the parametric uncertainties that most strongly influence each objective using global sensitivity analysis. We find that the flood adaptation model produces potentially myopic solutions when formulated using traditional mean-centric decision theory. Moving from a single-objective problem formulation to one with multiobjective tradeoffs dramatically expands the decision space, and highlights the need for compromise solutions to address stakeholder preferences. We find deep structural uncertainties that have large effects on the model outcome, with the storm surge parameters accounting for the greatest impacts. Global sensitivity analysis effectively identifies important parameter interactions that local methods overlook, and that could have critical implications for flood adaptation strategies.     

Evaluation of Multicriteria Decision Analysis Algorithms in Food Safety: A Case Study on Emerging Zoonoses Prioritization

Decision making in food safety is a complex process that involves several criteria of different nature like the expected reduction in the number of illnesses, the potential economic or health-related cost, or even the environmental impact of a given policy or intervention. Several multicriteria decision analysis (MCDA) algorithms are currently used, mostly individually, in food safety to rank different options in a multifactorial environment. However, the selection of the MCDA algorithm is a decision problem on its own because different methods calculate different rankings. The aim of this study was to compare the impact of different uncertainty sources on the rankings of MCDA problems in the context of food safety. For that purpose, a previously published data set on emerging zoonoses in the Netherlands was used to compare different MCDA algorithms: MMOORA, TOPSIS, VIKOR, WASPAS, and ELECTRE III. The rankings were calculated with and without considering uncertainty (using fuzzy sets), to assess the importance of this factor. The rankings obtained differed between algorithms, emphasizing that the selection of the MCDA method had a relevant impact in the rankings. Furthermore, considering uncertainty in the ranking had a high influence on the results. Both factors were more relevant than the weights associated with each criterion in this case study. A hierarchical clustering method was suggested to aggregate results obtained by the different algorithms. This complementary step seems to be a promising way to decrease extreme difference among algorithms and could provide a strong added value in the decision-making process.     

The Aversion to Tampering with Nature (ATN) Scale: Individual Differences in (Dis)comfort with Altering the Natural World

People differ in their comfort with tampering with the natural world. Although some see altering nature as a sign of human progress, others see it as dangerous or hubristic. Across four studies, we investigate discomfort with tampering with the natural world. To do so, we develop the Aversion to Tampering with Nature (ATN) Scale, a short scale that is the first to directly measure this discomfort. We identify six activities that people believe tamper with nature (geoengineering, genetically modified organisms, pesticides, cloning, gene therapy, and nanoparticles) and show that ATN scores are associated with opposition to these activities. Furthermore, the ATN Scale predicts actual behavior: donations to an anti-tampering cause. We demonstrate that ATN is related to previously identified constructs including trust in technology, naturalness bias, purity values, disgust sensitivity, aversion to playing God, and environmental beliefs and values. By illuminating who is concerned about tampering with nature and what predicts these beliefs, the ATN Scale provides opportunities to better understand public opposition to technological innovations, consumer preferences for “natural” products, and strategies for science communication.     

Control of interrelated research and development projects

The purpose of this paper is to examine a type of resource allocation problem arising in the context of research and development activities. The particular problem analyzed involves scheduling a group of projects in such a way that total cost is minimized while several precedence relations are satisfied and specific completion times are maintained. The primary difficulty results from the existence of commonalities that allow the successful completion of a particular project to be applied to several different purposes. A solution approach is developed which combines a one-pass network algorithm to deal with the precedence and time restrictions and a dynamic programming procedure to allocate the resources to each project.     

Measurement of the effect of wool advertising

The paper reports a recent International Wool Secretariat (I.W.S.) study to measure the overall effect on sales of fibre advertising, based on annual data for eight major wool-consuming countries, collected from 1960 to 1970. An economic model of the fibre market is set up, and multiple linear regression is used to demonstrate a significant positive relationship between fibre sales and advertising. The effect of wool advertising is quantified, using the estimated regression coefficients, and its cost is compared with the estimated benefits to the wool industry in terms of increased revenue. Possible drawbacks of the approach described are considered, and aspects of the work requiring further study are also mentioned.     

Turnover turned over: an expanded and positive perspective

The negative impact of turnover is well documented in the literature. This paper examines turnover with a unique, positive focus. Turnover is reviewed, not only from the standpoint of the organizational theorist, but with economic, sociological, and psychological/social psychological perspectives. Often ignored benefits of turnover are noted.     

A productivity study in a chemical plant

This paper describes a case study in the application of a productivity analysis model in a plant producing industrial gases. Although the process is a relatively simple one, several inputs (labour, electricity, capital and some materials) and several outputs (liquid and gaseous oxygen, gaseous nitrogen, argon and a hydrogen-nitrogen mixture) are involved. The case study demonstrates how measures of total input and total output can be applied and analyses the performance of the plant over a 15-month period in terms of a variety of managerial control ratios.     

Plans—Their preparation and implementation

This article outlines the methodology developed in the adoption of long range planning at Reed International. Whilst the author rightly draws attention to the fact that the methodology described may not be applicable, or preferable, for all businesses it can give valuable lessons. Particularly, since Reed International is a highly diversified multi-national group of companies whose activities range from pulp and paper to publishing and building products, the difficulties of ensuring that plans are logically coherent, informative and examine the relative range of alternatives, is a complex and difficult task. Therefore, the paper provides a highly relevant and detailed insight into the planning methodology adopted by a company whose activities are wide ranging both in terms of product mix and geographical location. The author stresses the importance of planning as a process which includes the necessary structural underpinning but which concentrates essentially on the integration of concepts and ideas which may help the future performance of the company. Finally, the author also examines the important but often forgotten element of planning, the elements of control necessary to ensure effective implementation.     

"Conflict management" and "conflict resolution" are not synonymous terms

Robbins sees functional conflict as an absolute necessity within organizations and explicitly encourages it. He explains: "Survival can result only when an organization is able to adapt to constant changes in the environment. Adaption is possible only through change, and change is stimulated by conflict." Robbins cites evidence indicating that conflict can be related to increased productivity and that critical thinking encourages well-developed decisions. He admits, however, that not all conflicts are good for the organization. Their functional or dysfunctional nature is determined by the impact of the conflict on the objectives of the organization. The author identifies several factors underlying the need for conflict stimulation: (1) managers who are surrounded by "yes men"; (2) subordinates who are afraid to admit ignorance or uncertainty; (3) decision-makers' excessive concern about hurting the feelings of others; or (4) an environment where new ideas are slow in coming forth. He suggests techniques for stimulating conflict; manipulating the communication channels (i.e., repression of information); changing the organizational structure (i.e., changes in size or position); and altering personal behavior factors (i.e., role incongruence). Robbins stresses that the actual method to be used in either resolving or stimulating conflict must be appropriate to the situation.