Shop Characteristics Research Articles

Workload Control in Flow Shops with Bottleneck Shifting and Process Time Variability

Abstract Manufacturing industries struggle to devise precise planning and scheduling solutions due to unpredictable business situations. Additionally, uncertainties in production such as machine breakdowns, labour absenteeism, cycle time deviations, etc., would further deteriorate production plans and lead to uncertainty in decision-making processes. Flow shops with bottlenecks are particularly susceptible to these disturbances. Moreover, the random variations in cycle time variations can cause the bottleneck to shift between different stages. Literature indicates that conventional job release methods are ineffective in addressing these difficulties. In contrast, workload control methods would provide better solutions. Hence, a flow shop model has been developed and simulated using the variables like process time variations and bottleneck shifting on the discrete-event simulation software. The flow shop model incorporates realistic shop characteristics which are subjected to random process time variations, so as to assess the performance. The outcomes of the experimentation demonstrate that order release methods play a pivotal role in improving the performance of flow shops in more volatile situations.

스포츠 브랜드 플래그십 스토어의 공간체험 디자인 특성에 관한 연구

Flagship shop space design influences the brand image of visiting consumers, which in turn affects purchase intention. Therefore, in order to attract consumers, this study takes experience design as the theoretical basis and aims to investigate the influence of experience design characteristics (non-daily, interactive, dynamic and associative) on brand image and purchase intention in the design of sports brand flagship shop space. In order to meet the purpose of this study, two sports brand flagship shop spaces, NIKE and ADIDAS, were selected as investigation cases, and a questionnaire survey was carried out with the group of consumers visiting the sports brand flagship shops, and 302 valid questionnaires were finally returned, and the collected data were analysed by frequency analysis, reliability analysis, validation factor analysis, correlation analysis, and regression analysis using the statistical programs of SPSS26.0 and AMOS 24.0. analysis and regression analysis. The results of the study are as follows: (1) The spatial experience design characteristics of flagship shops of sports brands (non-routine, interactivity, dynamism and associativity) have a positive impact on brand image. (2) Brand image has a positive effect on consumers' purchase intention. The results of this study can provide empirical data and theoretical support for the spatial planning of sports brand flagship shops.

Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

AbstractThe electric vehicle industry is essential for China's economic transformation and industrial upgrading. Identifying the distribution of electric vehicle sales and service shops is of great significance to boost the development of retail geography theory and promote the optimization of industrial space. Regression and spatial econometric methods analyze the influencing factors of electric vehicle sales and service shop distribution. According to the point of interest data of electric vehicle sales and service shops, taking 10 typical cities in China as an example, the spatial distribution of electric vehicle sales and service shops and its influencing factors are empirically explored by spatial econometric methods. The results indicate the following: (1) From high to low, the influence degree of spatial dependence factors are car license restriction policy, the average age of residents, number of schools, built‐up area, the amount of investment in real estate, electric vehicle sales, and GDP; (2) On the whole, the spatial distribution of electric vehicle sales and service shops shows the characteristics of a multi‐center circle‐layered spatial structure that spreads from the inside to the outside; and (3) The spatial influencing factors such as electric vehicle sales, charging stations, permanent resident population, schools, and subway stations in the four first‐tier cities is evident.

A summary of algorithm research on hybrid flow-shop scheduling problem

The hybrid flow shop scheduling problem is a flow shop scheduling problem that combines the two scheduling characteristics of the classical flow shop and the parallel machine. It is also one of the research hotspots in the field of shop scheduling. In this paper, the algorithm for solving the problem is reviewed, and the research status of the related expansion problems of the mixed flow workshop is summarized. Finally, combined with the development trend, the existing problems in the current research are analyzed, possible solutions are proposed, and the application of the algorithm for solving the problem of mixed flow shop scheduling in new fields in the future is discussed.

Retailer's characteristics and compliance with the single-use plastic bag ban

The increasing use of single-use plastic bags has led to a global concern. Cities in developing countries are enforcing a (single-use) plastic bags ban to reduce the use of plastic in the retail supply chain. In Nepal, some retailers such as fashion outlets and pharmacies support the ban and others like dairy shops protest. This analysis aims to investigate how retailer heterogeneity in terms of shop characteristics and social association influences bag use behavior and compliance with the plastic bag ban in Nepal. This study based on the 1300 retailers’ plastic bag use data in three different plastic bag ban scenarios from 13 municipalities of Nepal shows that retailers’ response to the ban depends on their shop type, the nature of the goods they sell, and their social association. In addition, retailers' perception also affect their response to the plastic ban decision. Their perception of the performance of regulatory authority is likely to affect their compliance. Similarly, retailers who consider that the municipality has strong enforcement in place, tend to cooperate with the ban. This article highlights the need for retailer-specific interventions to reduce bag use.

Study on the Operation of Preservation and the Characteristics of Retail Shops in Historical Villages as Tourist Area

本研究は町並み観光地としての状況が異なる妻籠宿、奈良井宿、海野宿を対象に、各地区における町並みの保存方針と活用の取り組みの特徴について整理したうえで、観光者を主な対象とする商業施設の変遷について明らかにし、その差異について保存方針と活用の取り組みの特徴から考察することを目的としている。保存方針は主要な保存規制と各自治体の最上位計画における町並みに関する記述から、また活用の取り組みは地区内で公的な性格を持つ主体が実施したものから把握した。商業施設については、施設数と施設分布、業種構成、店主属性別の開業動向に着目し、1990年から2018年までの変遷を分析した。3地区では保存制度とその実質的な運用から整理した保存方針および地区内で実行されていた活用の取り組みの特徴が異なっていた。これらが商業施設を運営、新規開業する際の背景となることで、商業施設の変遷に影響を与え、結果として観光地としての質の差異に繋がったと考察される。

The emergence of e-cigarette retail shops in a regulated tobacco control environment.

E-cigarettes are of growing concern. We aimed to determine the location and characteristics of retail shops selling e-cigarette products in Perth, Western Australia. Two phase study: (i) identifying all e-cigarette retailers in the Greater Capital City Statistical Area of Perth; (ii) audit at the point-of-sale to assess products, promotions and shop characteristics (n=41). Ninety-eight retailers selling e-cigarette products were identified: 43 tobacconists (44%), 21 vape shops (21% - up from one shop in 2017), 14 supermarkets (14%), 12 service stations (12%) and 8 smoke shops (8%). The most common e-cigarette product was non-nicotine e-liquid, available at 38 (93%) stores audited. Most stores sold parts of e-cigarette devices (n=25, 61%). Front counter displays were the most frequent form of promotion (n=40, 98%). Vape shops differed from other retailers, having bar-style layouts (n=15, 71%), lounge areas (n=7, 33%) and free e-liquid samples (n=17, 89%). The availability of e-cigarette products from retail shops and particularly vape shops is increasing. E-cigarette retailers are using traditional promotional techniques including point-of-sale displays to market their products, while vape shops are extending their appeal through bar style, lounge layouts and free trials. Understanding the e-cigarette retail store environment is essential for identifying emergent trends, potential regulations and future research. SO WHAT?: The e-cigarette retail market in the Perth is growing, shops using traditional and new promotional techniques to market e-cigarette products. Our findings identify a need for public health surveillance, regulations and legislation.

Identification of Consumer Characteristics of Arabica Coffee Shop in Banda ACEH

Identification of Consumer Characteristics of Arabica Coffee Shop in Banda ACEH

Improving patient satisfaction and outpatient diagnostic center efficiency using novel online real-time scheduling

We develop a novel online real-time scheduling algorithm with applications for healthcare diagnostic centers to deal with walk-in patients based on a set of constraints on the sequence of tests and resources. The problem is especially significant at healthcare centers in developing and emerging nations, such as India, where appointment schedules do not work. Within this realistic context, our objective is to improve patient satisfaction by reducing waiting time and improve diagnostic center performance through better utilization of the constrained resources. We propose a Mixed Integer Linear Programming (MILP) formulation to represent diagnostic centers as a Flow and Open Shop, to capture the system dynamics of the Flexible Hybrid Shop Scheduling Problem. We then develop a novel Online Genetic Algorithm (OGA) capable of solving real life large scale problems, as Open Shop scheduling problems are NP-hard. The developed OGA is first validated for small instances against a theoretical lower bound and the MILP model using CPLEX solver for flow time and makespan. The OGA is then empirically validated with data collected from two diagnostic centers of different sizes and configurations. For both centers, the developed OGA shows significant improvement compared to the simulation model. This research offers an important contribution to both literature and practice as it is one of the first to model the patient scheduling problem as an online real-time process. Implementing the developed OGA would help diagnostic centers significantly improve time estimates, thus reducing actual patient time and improving the efficiency of the system. Most importantly, the OGA is generalizable beyond healthcare to a broad range of environments that share Hybrid Shop characteristics.

A netnography approach on the daily local-guided shopping tour experiences of travellers: An unexplored facet of the sharing economy

This research explores the travellers’ experience of daily local-guided shopping tours offered in a sharing economy platform-Withlocals using a netnography approach. Reviews of travellers participating in daily local-guided shopping tours in different destinations were gathered, and their content was analysed. As a result, seven main components of experiences of daily-local guided shopping tours revealed: guide, shopping companion, learning, hedonic experience, memorable experience, local interaction, and shop characteristics. The study substantially contributes to the shopping experience and sharing economy literature by providing a deep understanding of travellers’ shopping experiences in the local guided tours organised through sharing economy platforms.

Facility location optimization with pMP modeling incorporating waiting time prediction function for emergency road services

Emergency road services providing on-site rescue for disabled vehicles are essential to maintain personal mobility in society. To improve the service level, the time until recovery completion must be minimized. Location optimization of a service base shop is considered an effective approach for achieving this aim. Various similar problems have been investigated as the p-median problem (pMP), aiming at minimizing the sum or average of travel times between demand points and the nearest facilities. For emergency road services, one must additionally consider unique effects on dispatch preparation time and travel time (together referred to as waiting time) caused by vehicle trouble situations and shop characteristics such as repair capability and business forms. To address this problem, we constructed a pMP model combined with a Bayesian regression-based predictive model for waiting time along with the factors unique to this problem. We applied the proposed method to an actual record of emergency road services from Bridgestone Corporation and attempted to determine the optimal shop locations to deliver services in the shortest time. The results show that the proposed method reduced the waiting time by up to 7% compared with the conventional method considering only travel distance.

Bottleneck shifting in serial line production: An investigation with different order release methods

The workload control (WLC) concept has gained a lot of importance in recent years among the researchers of operations management for its intuitive ways of governing production shops. Researchers have focused on developing several release policies that are executed independently or in combination with dispatching rules in distinct stages of production shops. Most researches intended to employ a suitable WLC strategy in complex situations either to overcome hurdles in production or to achieve optimum performance. In the present study, we model a serial line that comprises four stations with different processing times. The model performance has been simulated under different job and shop characteristics with the help of WLC strategies.

An improved grey wolf optimizer for welding shop inverse scheduling

The welding is widely used in many manufacturing industries. In real-life welding production shop, because of a variety of dynamic events, the original schedule maybe not optimal or even unfeasible. However, if the scheduling scheme is rescheduled blindly, the stability of production and the overall production efficiency will be greatly impacted. To deal with this problem, this paper proposes the model and algorithm of the welding shop inverse scheduling problem (WSISP) for the dynamic events according to welding shop characteristics. Minimizing the parameter adjustment is regarded as the objective. And an improved grey wolf optimizer (IGWO) algorithm is proposed to solve this problem. First, for typical discrete optimization problems, the encoding based on a matrix and the initialization method by the critical path are designed. These methods can avoid unnecessary search and improve search efficiency. Second, a variable neighborhood search method is used to enrich the local search ability of the IGWO algorithm. Afterwards, with the objective of minimizing the parameter adjustment, three kinds of instances are selected to verify the performance of the proposed algorithm, and the comparisons with the state-of-art methods are also conducted. The experimental results show the superiority of the proposed method for solving WSISIP. Finally, a case study considering a real-life welding shop is conducted to validate the proposed method.

TRUST AND PURCHASE INTENTION ON ONLINE SHOPS AMID COVID 19 PANDEMIC: AS BASIS FOR REGULATORY POLICY

Online shops are inevitable. It is the future of commerce. The convenience it offers surpasses all previous platforms of exchange combined. During this pandemic, online shops have seen a tremendous business opportunity as it has become the only option to acquire necessities for survival amid lockdowns. The rise in the number of online shops is like mushrooms, sprouting everywhere, where there is almost no chance of knowing which are bogus and legitimate. Hence, skeptical minds begin to question the security of online purchases. Many fears, but some are confident. This paper presents the primary demographical distribution of the online customers, preferred payment options, level of trust in online shops, and, more importantly, shows customers’ purchase intentions towards different shop characteristics. It was concluded that the e-commerce industry in the country enjoys a relatively high trust rating among its customers. And that customers have higher purchase intention to shops that offer cash on delivery, fast delivery time, responsive customer service, accessible to both web and apps, and sell cheap products.

Visual Characteristics Study of Coffee Shop Signboards In Manggar Belitung Timur

<p><em>The number of coffee shops at an adjacent location in Manggar made the city known as the City of 1001 Coffee Shops. 1001 Coffee Shop monument in Manggar, East Belitung confirmed that the tradition of drinking coffee is part of life in Manggar. The number of coffee shops that are located closely to each other around the center of Manggar makes it look very unique. This study aims to identify the visual characteristics of coffee shops signboard in Manggar in terms of typography, images, and colors. This research is done by using content analysis method which then interpreted by using semiotic approach. This research hopefully will show the characteristic of city of Manggar which represented by the characteristic of coffee shops signboard in Manggar.</em></p><p><strong><em>Keywords:</em></strong><em> </em><em>S</em><em>ignboard, coffee shop, Manggar, East Belitung, semioti</em><em>c</em><em>. </em><em>v</em><em>isual</em></p>

MZ세대를 위한 라이프스타일 숍 공간 표현 특성 분석 - 인테리어 편집숍 유형을 중심으로 -

People’s values and lifestyles are changing greatly every time a new generation emerges. The development of various technologies and the improvement of quality of life have led people to consume and share information in more diverse ways, and the current retail commercial spaces is serving as a social activity space for production, culture, information, and sharing. However, with the influence of Covid-19, offline retail commercial spaces are in serious trouble and need an ‘offline retail paradigm’ for them. This upheaval is the activation of mobile platform-based shopping, deceiving users, and this is the ‘MZ Generation (Millennial Generation+Generation Z). In particular, the Millennial Generation and Generation Z, also called the “SNS Generation,” are the main drivers of the trend of consumption at the center, and they are the generation that is constantly drawing attention in studies dealing with the latest trends. Since they are the subjects and drivers of huge transformation, they cannot discuss the upheaval of offline retail commercial spaces without analyzing the lifestyle they pursue. Their lifestyles and forms of consumption create services for them, which affect many industries. In this study, we analyzed the spatial expression characteristics of lifestyle shops designed in the past two years to contribute to maximizing the effect of cultural and retail commercial spaces in order to encourage influential consumers, MZ generation, to communicate and live a more meaningful cultural life. First, Cafes and rest areas for interaction (A) are found to be somewhat lacking. Second, all seven case papers had less expressive characteristics of symbolism (B). Third, the expression properties corresponding to all seven subjects were analyzed as complexity (C) and expressivity (E). Fourth, it was analyzed that the participation (D) derived for generations of MZ was applied in the least space. Fifth, in producing interior furniture and props, most stores used space production reminiscent of residential spaces such as living rooms and dining rooms. Interior lifestyle shops in Korea will continue to expand. If more follow-up research is done in the future to capture the MZ generation, we will be able to identify new possibilities in it and face a successful “retail paradigm.”

Specialty Coffee Shops in Mexico: Factors Influencing the Likelihood of Purchasing High-Quality Coffee

This study models the purchasing behavior of specialty coffee by 114 coffee shops across 15 cities in nine states in Mexico. Simple and multilevel mixed-effects logistic models are tested. Our models extend the framework used in prior research. We model the purchase of specialty coffee as a function of: (a) material attributes, (b) symbolic attributes, (c) coffee shop characteristics, (d) profile of the coffee shop’s owner, and (e) socio-economic variables of the cities where the coffee shops were located. Overall, our results are consistent with expectations developed from the coffee literature. That is, the likelihood of purchasing specialty coffee increases when: coffee’s aroma drives the purchase, coffee purchased is from the state of Oaxaca, the coffee shop has a value-added business model, the coffee shop is diversified selling both ground coffee and coffee drinks, the coffee shop owner’s knowledge on coffee supply chain activities is high, and the coffee shop is located in a city with a higher education index. In contrast, the likelihood of purchasing specialty coffee decreases when a coffee professional tastes the coffee before the purchase, when coffee shops are not given the opportunity to roast their own coffee, and in coffee shops located in larger cities. Overall, our research suggests that the specialty coffee niche in Mexico has some elements required for this segment to transition from a supply chain approach to a value-based supply chain approach. This might be particularly beneficial for smallholder coffee growers, who despite several constraints contribute to the sustainability of coffee supply chains.

The role of business agglomerations in stimulating static and social activities in multicultural streets

ABSTRACT Urban designers and city planners are increasingly interested in how streets can support social activities. Street-based social activities are influenced by relationships between the street’s physical characteristics, the business activities that take place there and how these two factors are managed over time. As New Zealand’s population becomes more diverse, a key challenge is to design and manage public spaces so that people from different socio-cultural backgrounds can enjoy spending time there. The ethnic retail phenomenon is considered one of the most recognisable symbols of multiculturalism. In many cases, the identity of an ethnic neighbourhood has developed around a specific mix of retailing activities. Despite this, very little work has been done to identify the characteristics of shops and businesses along streets that can help stimulate social intercourse. This paper explores how commercial business agglomerations can support efforts to make streets more culturally diverse. Through observations of activity along streets and interviews with people from three ethnically diverse communities in New Zealand, it was revealed that the extent to which streets become the public domain of different ethnic groups is dependent on the retail activities on offer. We conclude with reflections about the importance of municipal intervention and management for multicultural planning practice in streets.

문화공간 카페의 특성이 고객만족도 및 재방문의도에 미치는 영향 연구

본 연구는 현대 사회에서 대표적 문화공간인 카페, 즉 커피메뉴를 판매하는 커피전문점의 특성이 고객만족도와 소비자의 재방문의도에 어떠한 영향을 끼치는지 분석하기 위해 수도권 지역에 위치한 카페를 이용해 본 경험이 있는 소비자를 대상으로 조사 및 연구하고자 한다. 연구의 목적은 커피전문점의 특성 중 입지와 물리적 특성이 고객만족도나 재방문의도에 영향을 미치는가를 밝혀 이를 바탕으로 경쟁이 극심한 커피시장에서 커피전문점이 경쟁우위를 차지하기 위해 어떤 요소들을 강화해야 할지 커피전문점 운영자에게 경영적 자료를 제시함에 있다. 프랜차이즈나 개인커피전문점을 조절변수로 하여 고객만족도와 재방문의도에 관계에서 영향을 주는지도 연구하였다. 본 연구의 분석 결과로서 입지특성인 커피전문점의 가시성, 상권과 물리적 특성인 심미성, 공간성 등은 고객만족도와 재방문의도에 직접적으로 유의한 영향을 준다고 확인이 되었지만, 접근성이 고객만족도에는 유의하지 않은 영향을 주었고 편의성이 재방문의도에는 영향을 주지 않는 것으로 나타났다. 향후 커피전문점 운영자들은 경쟁이 심화된 커피시장에서 재방문율을 높이기 위해 카페 관련 경영자에게 이 연구가 도움이 되기를 기대한다.

Pengaruh Karakteristik Toko terhadap Pengalaman Konsumen Gerai Kopi

This research attempts to examine the impact of the coffee shop characteristics towards the consumers experience when they visit the coffee shop. The coffee shop characteristics including functional, atmosphere, design, and social characteristics. The population of this study are all Surabaya productive age residents, and the sample of this study was determined using Quota Sampling and the Isaac and Michael formula with the respondents requirements are those who had been visiting and/or consuming products directly at Starbucks Surabaya on maximum of 2 -3 months before filling out the questionnaire, with total of 384 respondents needed to be obtained. The questionnaire was distributed online and offline, with total 369 questionnaires are used in this study. This research uses SEM analysis. This research found that only the functional and social characteristics of the coffee shop have significant effect on the experience gained by its consumers; while the atmosphere and design characteristics have no significant effect, as the design characteristics have negative effect on the consumers experience. The practical contribution of research for the coffee shop owner are to maintains functional and social aspects as well as, improving aspects of design characteristics and atmosphere so that consumers gain experience when visiting.