scholarly journals Applying Analytical Hierarchy Process to Supplier Selection and Evaluation in the Hospitality Industry: A Multiobjective Approach

2015 ◽  
Vol 65 (s2) ◽  
pp. 309-323 ◽  
Author(s):  
Kaie-Chin Chung
Keyword(s):  
Supplier Selection ◽  
Hospitality Industry ◽  
Multicriteria Decision Making ◽  
Primary Objective ◽  
Contributing Factors ◽  
Service Setting ◽  
Analytic Hierarchical Process ◽  
Multiobjective Approach ◽  
Survey Results ◽  
Hospitality Firms

The present study’s primary objective is to identify contributing factors in selecting and evaluating a seafood supplier within the Taiwanese hospitality industry. It illustrates the application of a multicriteria decision-making process to supplier selection within a service setting where it is less common than in a manufacturing context. To implement the study, a survey instrument was created and submitted to Taiwanese hospitality firms, namely hotels and restaurants, to identify contributing factors in the selection of a seafood supplier within six initial areas concerning food hygiene, stafftraining, crisis management, information technology, competitive ability, and logistics and quality assurance. The analytic hierarchical process (AHP) was then applied to the survey results, and the first- and second-level hierarchical factors were rigorously identified and ranked. These can be regarded as useful benchmarks in identifying and ranking the selection and evaluation of a food supplier within the industry. The present study enhances the understanding of supplier selection in the hospitality industry and provides insights which hospitality firms can apply in managing their supply chains. The managerial and research implications of these findings are discussed.

scholarly journals Feedback of patient survey on medication improves the management of polypharmacy: a pilot trial

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuta Hirose ◽  
Kiyoshi Shikino ◽  
Yoshiyuki Ohira ◽  
Sumihide Matsuoka ◽  
Chihiro Mikami ◽  
...  
Keyword(s):  
Health Professionals ◽  
Questionnaire Survey ◽  
Pilot Trial ◽  
Patient Survey ◽  
Contributing Factors ◽  
Chi Square ◽  
Oral Medications ◽  
Medical Institutions ◽  
Chi Square Test ◽  
Survey Results

Abstract Background Patient awareness surveys on polypharmacy have been reported previously, but no previous study has examined the effects of sending feedback to health professionals on reducing medication use. Our study aimed to conduct a patient survey to examine factors contributing to polypharmacy, feedback the results to health professionals, and analyze the resulting changes in the number of polypharmacy patients and prescribed medications. Methods After conducting a questionnaire survey of patients in Study 1, we provided its results to the healthcare professionals, and then surveyed the number of polypharmacy patients and oral medications using a before-after comparative study design in Study 2. In Study 1, we examined polypharmacy and its contributing factors by performing logistic regression analysis. In Study 2, we performed a t-test and a chi-square test. Results In the questionnaire survey, significant differences were found in the following 3 items: age (odds ratio (OR) = 3.14; 95% confidence interval (CI) = 2.01–4.91), number of medical institutions (OR = 2.34; 95%CI = 1.50–3.64), and patients’ difficulty with asking their doctors to deprescribe their medications (OR = 2.21; 95%CI = 1.25–3.90). After the feedback, the number of polypharmacy patients decreased from 175 to 159 individuals and the mean number of prescribed medications per patient decreased from 8.2 to 7.7 (p < 0.001, respectively). Conclusions Providing feedback to health professionals on polypharmacy survey results may lead to a decrease in the number of polypharmacy patients. Factors contributing to polypharmacy included age (75 years or older), the number of medical institutions (2 or more institutions), and patients’ difficulty with asking their physicians to deprescribe their medications. Feedback to health professionals reduced the percentage of polypharmacy patients and the number of prescribed medications. Trial registration UMIN. Registered 21 June 2020 - Retrospectively registered, https://www.umin.ac.jp/ctr/index-j.htm

scholarly journals A study on nutritional status of adolescent girls of Dongria Kondh tribe

2017 ◽  
Vol 4 (5) ◽  
pp. 1573
Author(s):  
Sikata Nanda ◽  
Rabi Narayan Dhar
Keyword(s):  
Nutritional Status ◽  
Adolescent Girls ◽  
Nuclear Family ◽  
Economic Status ◽  
Primary Objective ◽  
Living Condition ◽  
Health Care Facilities ◽  
Contributing Factors ◽  
Study Population ◽  
The Common

Background: Nutritional status of adolescent girls are different from the younger children and older adults. In the tribal population they are more neglected in comparison to boys because of limited resources and health care facilities. In the present study we have done assessment of nutritional status of adolescent girls in the Dongria Kondh tribe in Odisha. Methods: Dongria Kondh’ residing in Rayagada district of Odisha, having its maximum concentration was studied. Bissam Cuttack block was selected randomly as the study area. Moreover, coincidently majority of the study population resided in the block having villages like Kurli, Khambesi, Hundijali, Muthesi, Khajuri, Mundabali and Uppar Gandatallli which are situated as a distance of 5000 ft height above sea level. 89 adolescent girls were considered to assess the nutritional status of tribal adolescent girls of Dongria Kondh tribe to study the different factors associated with the nutritional status of the girls and to suggest remedial measures for integrated development of the adolescent girls. Results: Most of the girls (81%) were from nuclear family. All girls belonged to low socio economic status. The energy intake was adequate only in 35% of study subjects. The protein intake was adequate in only 38% of study subjects. The common types of food consumed was rice, ragi and seasonal fruits and all were non vegetarian. Conclusions: The widespread problem of poverty, illiteracy, malnutrition, absence of sanitary living condition, ignorance of cause of disease still are the contributing factors for the deplorable condition prevailing amongst the adolescent girls of the tribal group. As they are future mothers, improvement of nutritional status should be the primary objective. 

Failure Mode and Effect Analysis and Analytic Hierarchical Process Applied for Reduction of Environmental Risk in Supplier Selection to Thermoplastic Industry

2020 ◽  
Vol 10 (1) ◽  
pp. 73-89
Author(s):  
Flavia Cristina da Silva ◽  
Fabio Ytoshi Shibao ◽  
Andre Felipe Henriques Librantz ◽  
Geraldo Cardoso de Oliveira Neto ◽  
Lincoln Nagaki
Keyword(s):  
Failure Mode ◽  
Environmental Risk ◽  
Supplier Selection ◽  
Effect Analysis ◽  
Analytic Hierarchical Process

A Literature Survey on the Usage of Fuzzy MCDM Methods for Digital Marketing

2017 ◽  
pp. 1-19
Author(s):  
Cengiz Kahraman ◽  
İbrahim Yazıcı ◽  
Ali Karaşan
Keyword(s):  
Multicriteria Decision Making ◽  
Literature Survey ◽  
Customer Relationships ◽  
Digital Marketing ◽  
Electronic Technology ◽  
Future Directions ◽  
Survey Results ◽  
Fuzzy Mcdm ◽  
Definition Of ◽  
Integrated Processes

Digital marketing is the integrated processes of building and maintaining customer relationships using online channels to establish the exchange and flow of products, and services in the market. It is the marketing that bridges electronic technology with psychology in the marketplace. Fuzzy sets can handle the uncertainty and human-manner linguistic evaluations in digital marketing. The objective of this chapter is to summarize and classify the literature on digital marketing, which uses the fuzzy multicriteria decision making methods (MCDM), and predict the future directions for digital marketing. Our chapter will include the main definitions and principles of digital marketing with its challenges. We also give a brief definition of the fuzzy MCDM used methods in the literature. We use graphical illustrations techniques for summarizing the survey results.

BENEFITS OF BIM IN CONSTRUCTION PROJECTS

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Vanissorn Vimonsatit ◽  
Alex Chai Mui Foo
Keyword(s):  
Content Analysis ◽  
Construction Industry ◽  
Construction Projects ◽  
Weather Condition ◽  
Secondary Data ◽  
Contributing Factors ◽  
Building Information Modelling ◽  
Cost Overruns ◽  
Building Information ◽  
Survey Results

This paper presents findings of an investigation into benefits of using Building Information Modelling (BIM) in construction projects. The research methodology includes a review of BIM development and achievement in construction industry, questionnaire survey, interview, and content analysis of secondary data. Data was collected and analyzed to identify the various benefits reflected from BIM implementation in addressing common problems experienced by the construction industry. The review and survey results indicate that a high frequency of occurrence of time and cost overruns occur in construction projects. Contributing factors were mainly rework, poor planning, documents delivery and approval, constructability issues, resources and weather condition. While some of the factors were unpreventable, BIM could be used as a tool to eliminate problems causing time and cost overruns. Various project benefits have been reflected through the content analysis of project case studies. It was found that time was the most positively influenced by the use of BIM followed by coordination, procurement, communication, cost and change of scope of the project, and lastly, risk.

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

scholarly journals Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Mao Ye ◽  
Miao Yu ◽  
Zhibin Li ◽  
Fengjun Yin ◽  
Qizhou Hu
Keyword(s):  
Structural Equation ◽  
Household Survey ◽  
Primary Objective ◽  
Equation Modeling ◽  
Historic District ◽  
Contributing Factors ◽  
Historic Districts ◽  
Explanatory Variables ◽  
Home Based ◽  
Endogenous Variables

The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China. The impacts of various explanatory variables on commuters’ travels are evaluated using the structural equation modeling (SEM) approach. The household survey was conducted in the historical districts in Yangzhou, China. Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables. Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district. The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities. Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

scholarly journals MULTI CRITERIA SUPPLIER SELECTION USING A HYBRID FUZZY AHP- TAGUCHI TECHNIQUE: THE CASE OF TEXTILE INDUSTRY

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Wilson Kosasih ◽  
Vieren Yulies Triyani ◽  
Ahmad Ahmad ◽  
Carla Olyvia Doaly
Keyword(s):  
Textile Industry ◽  
Supplier Selection ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Research Data ◽  
Taguchi Technique ◽  
Survey Results ◽  
The Cost ◽  
Factual Data

This paper discusses a method that integrates Fuzzy AHP with Taguchi Loss Function. The method used to select suppliers with various criteria. This various criteria will be considered to get the best supplier. This research was conducted at a textile company in Indonesia for the cotton product 41166. The purpose of this research is to apply techniques to improve the performance of Fuzzy AHP by considering the cost of losses as small as possible. Research data obtained from the survey results using questionnaires and company factual data in the form of costs of losses incurred due to improper quantity of raw materials, quality of raw materials that are not in accordance with standards, delays in delivery, prices that exceed expectations, and poor service or response. The results of this research shown the value of losses incurred by 1st, 2nd, 3rd, 4th suppliers respectively for $ 2.23, $ 671.12, $ 815.57, and $ 1243.64. Among four suppliers, the best supplier with the smallest loss value is first supplier.

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