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Article
Publication date: 1 September 2002

Cem Saydam and W. Douglas Cooper

In this paper we report the development and implementation of a decision support system to solve a complex scheduling system for a major apparel fabric company with annual sales…

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Abstract

In this paper we report the development and implementation of a decision support system to solve a complex scheduling system for a major apparel fabric company with annual sales of more than $2.5 billion. For the first phase of the problem, we developed a linear programming model to generate optimal machine loads. For the second phase, we designed a heuristic to minimize the delays that occur during the subsequent fabric roll selection and sequencing operations. Our system completely replaced tedious manual calculations with optimal machine loads, greatly improved the overall quality of their products, and produced unexpected benefits such as practically eliminating the high turnover of scheduling operators.

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International Journal of Operations & Production Management, vol. 22 no. 9
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 3 January 2023

Victor Oluwafemi Olorunsola, Mehmet Bahri Saydam, Taiwo Temitope Lasisi and Kayode Kolawole Eluwole

Capsule hotels are a revolutionary Japanese concept of lodging that dates back over four decades. On the other hand, capsule hotels are a relatively new concept for most travelers…

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Abstract

Purpose

Capsule hotels are a revolutionary Japanese concept of lodging that dates back over four decades. On the other hand, capsule hotels are a relatively new concept for most travelers outside of Japan. Organizations within this target segment are starting to recognize the critical role that an excellent customer experience management (CEM) strategy offers in improving competitiveness and organizational success. Thus, this research provides scholastic insight into the framework of CEM by evaluating the user-generated content at capsule hotels.

Design/methodology/approach

This study inspected 1,304 online user-generated content from the top 10 capsule hotels from Booking.com. Leximancer 4.5 was deployed to analyze the data.

Findings

The analyses revealed nine key themes to CEM of capsule hotels which are “staff,” “hotel,” “area,” “location,” “bed,” “capsule,” “check-in,” “noisy” and “luggage”.

Practical implications

This research encourages hospitality and tourism executives to develop specific strategies for capsule hotels.

Originality/value

This research differs from previous writings in that it attempts to fill a gap in the research by offering insight into the issue in the low-budget hotel industry and by identifying key indicators that influence customer experience.

Details

Journal of Hospitality and Tourism Insights, vol. 6 no. 5
Type: Research Article
ISSN: 2514-9792

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