Combining decision tree and MAUT for selecting a country for a global manufacturing facility

The paper presents a multi-phase approach for selecting a country in which to locate a global manufacturing facility. An influence diagram is used to frame the decision. A decision tree then analyzes uncertainties regarding cost and generates a risk profile. The risk profile becomes one of the measures in an MAUT model that incorporate a wide range of factors. This sequential approach of using the output from a decision tree as input to MAUT is demonstrated with an example involving an auto supplier locating a new plant in one of five countries. Three decision makers were interviewed to determine the weights and the shape of the individual utility curves. The paper identifies, clearly defines, and incorporates a variety of measures for which national data are readily available. This list is broader and less subjective when compared to other examples reported in the literature.     

Determinants of deglobalization: A hierarchical model to explore their interrelations as a conduit to policy

The world is moving towards the deglobalization era, and industrialized economies have marked its beginning. The present study aims to identify the interaction among the selected determinants that have brought the paradigm change. Numerous studies have been done to explore the determinants that have brought globalization; however, a few research pieces have been conducted to analyze the reasons behind the people’s displeasure after globalization. The contemporary study attempts to fill the above gap by studying the interplay among the determinants leading to the deglobalization process. We have used the modified total interpretive structural modeling to explore the relationship between the determinant that led to deglobalization. Incorporating polarity in TISM modeling has refined the model and made it more explanatory. The developed model is a novel initiative in studying the determinants that have led to the deglobalization process. In addition to it, we have also examined how the rising skepticism against globalization influences countries’ policy formation.     

Costing Mixed Coxian Phase-type Systems with Poisson Arrivals

Previously, we developed a modeling framework which classifies individuals with respect to their length of stay (LOS) in the transient states of a continuous-time Markov model with a single absorbing state; phase-type models are used for each class of the Markov model. We here add costs and obtain results for moments of total costs in (0, t], for an individual, a cohort arriving at time zero and when arrivals are Poisson. Based on stroke patient data from the Belfast City Hospital we use the overall modelling framework to obtain results for total cost in a given time interval.     

An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication

Mixture distribution survival trees are constructed by approximating different nodes in the tree by distinct types of mixture distributions to improve within node homogeneity. Previously, we proposed a mixture distribution survival tree-based method for determining clinically meaningful patient groups from a given dataset of patients’ length of stay. This article extends this approach to examine the interrelationship between length of stay in hospital, outcome measures, and other covariates. We describe an application of this approach to patient pathway and examine the relationship between length of stay in hospital and/or treatment outcome using five-years’ retrospective data of stroke patients.     

Ergonomic intervention in aonla pricking operation during preserve preparation in food processing industries

Aonla is an important Indian fruit crop with great potential for processing into various quality products. Aonla preserve making is an important economic activity in our country. The pricking methods are age old, hence a hand operated aonla pricking machine was introduced in preserve making industries to speed up the pricking task. OWAS and RULA two of the most commonly used ergonomic assessment tools were evaluated for their efficacy in the assessment pricking along with Rating of perceived exertion scale. Analysis of working posture using RULA revealed that the pricking task with existing methods i.e. fork and hand tool requires immediate investigation and changes in working posture while with machine pricking investigations and changes are required soon. The results of OWAS indicated that the posture maintained while pricking with existing methods need to be changed in future planning while with machine was acceptable. The subjective assessment revealed that machine pricking was less exerting activity as compared to the existing methods. The preserve prepared from machine pricked fruit was most acceptable among consumers. Hence, in the form of machine ergonomic intervention was brought about in preservation industries which have proved beneficial for workers in terms of their safety and productivity.     

Modelling critical success factors for sustainability initiatives in supply chains in Indian context using Grey-DEMATEL

Sustainability assists organisations to enhance ecological, financial and societal performances of their entire supply chains. The present paper uncovers the Critical Success Factors (CSFs) for effective adoption of sustainability initiatives in the supply chain in Indian context. Fifteen CSFs for the successful adoption of sustainability initiatives were identified and finalised firstly from the literature and followed by expert inputs. A methodology based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL) was used to envisage the organisation of complex causal relationships between the recognised CSFs. ‘Government Legalisation’ has been found to be the most influential factor and ‘Community Welfare and Development’ is most easily influenced factor. A multiple case example of three automotive companies operating in India is conducted. To the end, some important policy measures and recommendations are proposed to help practicing managers and government bodies to adopt and effectively manage the concepts of sustainability oriented supply chains in India.     

Fiscal Pressure of Migration and Horizontal Fiscal Inequality: Evidence from Indian Experience

This article examines the patterns and trends in inter‐State migration across the Indian States and observes that along with the demographic factors, migration is also affected by the fiscal profile of States. Controlling for the economic prosperity of States as reflected in their per capita Net State Domestic Product and the nature of fiscal policy stance, econometric estimation using the gravity model suggests that level of vertical federal transfers and its horizontal distribution is an important determinant of the pattern of inter State migration. To correct for the extant horizontal fiscal inequality across the Indian States, the article suggests a relatively more progressive transfer system and a developmental fiscal policy stance at the State level to reduce the pressure of out‐migration to prosperous regions of the country.     

Critical success factors of green supply chain management for achieving sustainability in Indian automobile industry

The aim of this study was to identify and analyse the key success factors behind successful achievement of environment sustainability in Indian automobile industry supply chains. Here, critical success factors (CSFs) and performance measures of green supply chain management (GSCM) have been identified through extensive literature review and discussions with experts from Indian automobile industry. Based on the literature review, a questionnaire was designed and 123 final responses were considered. Six CSFs to implement GSCM for achieving sustainability and four expected performance measures of GSCM practices implementation were extracted using factor analysis. interpretive ranking process (IRP) modelling approach is employed to examine the contextual relationships among CSFs and to rank them with respect to performance measures. The developed IRP model shows that the CSF ‘Competitiveness’ is the most important CSF for achieving sustainability in Indian automobile industry through GSCM practices. This study is one of the few that have considered the environmental sustainability practices in the automobile industry in India and their implications on sectoral economy. The results of this study may help the mangers/SC practitioners/Governments/Customers in making strategic and tactical decisions regarding successful implementation of GSCM practices in Indian automobile industry with a sustainability focus. The developed framework provides a comprehensive perspective for assessing the synergistic impact of CSFs on GSCM performances and can act as ready reckoner for the practitioners. As there is very limited work presented in literature using IRP, this piece of work would provide a better understanding of this relatively new ranking methodology.     

Risk Analysis of a Gas-Processing Complex in India

ONGC's Hazira Gas-Processing Complex (HGPC) consists of facilities for receiving natural gas along with associated condensate from an off-shore field at a rate of 20 MMN M3 per day. After separating the condensate, which is processed in condensate fractionation units, the gas is processed through various steps to recover LPG and to reduce its dew point to less than 5 degrees C in order to make it suitable for transportation over long distances. The acid gas recovered during the gas-sweetening step is processed to obtain sulphur. The major products manufactured at HGPC therefore are lean sweet gas, LPG, NGL, and sulphur. The Oil and Natural Gas Commission awarded the assignment on Hazard Study and Risk Analysis of their Hazira Gas-Processing Complex (HGPC) to the Council of Scientific and Industrial Research (CSIR) in association with the Netherlands Organisation for Applied Scientific Research (TNO). The scope of this assignment covered a number of closely related and fully defined activities normally encountered in this type of work. Identification of hazards through the most appropriate methods, assigning frequency of occurrence of major unwanted incidents, quantification and assessment of probable damage to plant equipment, environment, human and animal life due to an unexpected event, and evaluation of various methods for reducing risk, together constituted the methodology for this assignment. Detailed recommendations aimed at reducing risk and enhancing reliability of plant and machinery were made. This article gives an overview of the assignment.     

Adoption of an Outdoor Residential Hall Smoking Policy in a California Public University: A Case Study

Abstract

Objective: Because secondhand smoke is a public health concern, many colleges have adopted bans to ensure healthier environments. This study demonstrates how outdoor smoking policy change can be accomplished at a large public university. Participants: The participants were 1,537 students housed in residential communities at the University of California, Berkeley, who completed an online survey. Methods: A proposal for smoke-free residential communities that included student resident survey data was prepared. Results: The survey data indicated that most students (77%) were bothered by secondhand smoke, and most (66%) favored smoke-free environments. The data were used to advocate for a change in the residential community smoking policy. Conclusion: The survey data and institutional comparisons played a key role in administrators’ decision-making about campus smoking policy. Despite administrators’ concerns about students’ safety and freedom of choice, student-led advocacy was able to influence policy change.