Jaehun Park

• Doctor of Philosophy
• Professor (Associate) at Changwon National University

The fourth industrial revolution or what can be referred to as Industry 4 [...]

Service-quality is a major determinant of tourists’ choice of hotel. Tourists are likely to refer to user-created online reviews on online forums and other social networks comprising critical text data resources that represent the service quality experienced. This study develops a decision-support framework for hotel managers to comprehensively est...

This study proposes a systematical approach to evaluate the operational capability of container terminals and discusses the effect of resource usages on operational performances. Two inter-dependent processes (i.e. the loading-discharging (L&D) and the delivery-receiving (D&R) operational processes) with shared/non-shared resources and common/separ...

Cosmetics brand managers’ efforts in monitoring customer satisfaction and service quality have suffered due to the lack of effective analysis methods. In order to derive more comprehensive and objective insights into customer opinions on product quality and preferences for cosmetics brands, this study derived an online-review-based process for eval...

Radio-frequency identification (RFID) technology-based real-time indoor location awareness has been widely studied. In this paper, a passive RFID-based indoor inventory localization method for small and medium-sized enterprises (SMEs) is proposed to effectively manage their indoor inventory tracking in terms of the multi-stacking racking (MSR). To...

Service quality is one of the crucial factors for service providers to improve on their performance and enhance competitiveness in service operations. Service providers have been investing significant financial, material, and human resources to enrich service quality with an aim to promote profit generation. This study presents a two-stage network...

A container port consists of various sub-systems such as berth, block, gate, etc., which consists of different types of machines where containers are handled. Much research has been conducted on improving operational performance of a container port over the past decades by enhancing the handling efficiency at each sub-system, eliminating unproducti...

Uzbekistan is paying great attention to the textile industry as an industry offering a traditional production advantage, coming to the conclusion that it is necessary to establish and implement effective policies. In Uzbekistan as in other developing countries, whereas there are many strategic directions and development strategies to be considered...

Purpose Recent trends have shown that the usage of big data analysis is becoming the core of identifying promising future technologies and emerging technologies. Accordingly, applying these trends by analyzing defense related data in such sources as journals, articles, and news will provide crucial clues in predicting and identifying core future te...

Data envelopment analysis (DEA) has been widely used to measure organizational efficiencies and quality among decision-making units (DMUs). General DEA for efficiency measurement, however, does not consider the positive relation between quality and output factors. In this paper, we propose a new DEA-based efficiency evaluation model that applies th...

This study presents data envelopment analysis (DEA)-based systematic and simultaneous performance measures for research and business development (R&BD) and internal processes. In particular, we focus on the relationship between the research and development (R&D) process and business development (BD) process in evaluating R&BD overall performance, a...

Purpose: This paper developed the framework for extracting strategies of research and business development (R&BD) based on the data envelopment analysis(DEA). Methods: DEA has been widely utilized in evaluating R&D efficiency. Even though, technology transfer and commercialization has been regarded as the important factors for practical R&D efficie...

For acquiring more reliable defense weapon systems of South Korea, we suggest the improved workflow of RAM (reliability, availability and maintainability) tasks which adopt the private reliability technologies. In order to present the improved workflow of RAM tasks, at first, we review the current workflow of defense acquisition processes according...

Business entities are always exposed to potential risks as they are interconnected in a supply chain. The performance of a business entity would be disturbed by the realization of risks, and substantial effort would be required to bring its performance back to the previous level. This study proposes an approach to measure the degree of risk caused...

Stepwise benchmark target selection in data envelopment analysis (DEA) is a realistic and effective method by which inefficient decision-making units (DMUs) can choose benchmarks in a stepwise manner. We propose, for the construction of a benchmarking network (i.e., a network structure consisting of an alternative sequence of benchmark targets), an...

We suggest the improved workflow of RAM (reliability, availability and maintainability) tasks for acquiring reliable defense weapon systems of South Korea. We first review the current workflow of defense acquisition processes and identify the weak points in the current workflow. Then, we introduce the reliability concept with the reliability test m...

In this paper, we study idea mining from crowdsourcing applications which encourage a group of people, who are usually undefined and very large sized, to generate ideas for new product development (NPD). In order to isolate the relatively small number of potential ones among ideas from crowd, decision makers not only have to identify the key textua...

DEA 기반 벤치마킹에서의 효율성 개선 경로 선정을 위한 최적화 접근법에 관한 연구 박재훈 1 ․임성묵 2 ․배혜림 1 1 부산대학교 산업공학과 / 2 동국대학교-서울캠퍼스 경영대학 경영학부 Stepwise efficiency improvement in data envelopment analysis (DEA)-based benchmarking is a realistic and effective method by which inefficient decision making units (DMUs) can choose benchmarks in a stepwise manner and, thereby, effect gradual...

Allocation of operators is one of the most important factors determining the performance of a cellular manufacturing system (CMS). This paper presents a new integrated method which combines genetic algorithm (GA), simulation, and data envelopment analysis (DEA) in order to select the best operator allocation scenario. The proposed method first gene...

A Bayesian network is a powerful tool for various analyses (e.g. inference analysis, sensitivity analysis, evidence propagation, etc.); however, it is first necessary to obtain the Bayesian network structure of a given dataset, and this, an NP-hard problem, is not an easy task. However, an enhancement approach has been followed in order to learn Ba...

A Bayesian network can be considered to be a powerful tool for various analyses (e.g. inference analysis, sensitivity analysis, evidence propagation, etc.), however, it is first necessary to obtain the Bayesian network structure of a given dataset, and this, an NP hard problem, is not an easy task. Among the available scoring metrics, the present s...

This paper proposes a method to compare planned processes with actual processes of bock assembly operations in shipbuilding industry. Process models can be discovered using the process mining techniques both for planned and actual log data. The comparison between planned and actual process is focused in this paper. The analysis procedure consists o...

This paper proposes a new clustering and operation analysis method for assembly blocks based on process mining techniques suitable for the shipbuilding industry. The approach consists of four steps: 1) trace clustering from the task perspective, 2) trace clustering from the work shop perspective, 3) definition of new clusters considering task and w...

A block assembly process in the shipbuilding industry consists of many work stages. Block assembly involves many workers in many shops. Each assembly block, which is a part of a ship, has a different structure requiring specific work processes. Therefore, in order to better understand such real processes, an information system for monitoring of blo...

Data envelopment analysis (DEA) has been extensively utilized to evaluate the efficiency of port terminals and derive benchmarking methods. However, these studies have not considered the minimization of resources necessary to select benchmarking target and have not provided any clear information regarding which resources should be preferentially im...

Data envelopment analysis (DEA) is a useful tool based on which inefficient decision-making units (DMUs) can perform a benchmarking process to improve their per-formance. However, several practical problems need to be addressed in benchmark target selection. One issue discussed in this research is that it might not be feasible for an inef-ficient D...

To promote process effectiveness and efficiency, it is necessary that port logistics employ automated equipments for handling containers. There exists a system for automatically managing the container flow, called Control Module. However, it has limitation to assign the execution order to the machine and monitor the container flow in real time proc...

DEA의 교차효율성을 활용한 다기준 ABC 재고 분류 방법 연구 박재훈 1 ․배혜림 1 ․임성묵 2 1 부산대학교 산업공학과 / 2 고려대학교 경영학부 Multi-criteria ABC inventory classification, which aims to classify inventory items by considering more than one criterion, is one of the most widely employed techniques for inventory control. The weighted linear optimization (WLO) model proposed by Ramanathan (200...

In order to identify the best performers for the benchmarking process, Data Envelopment Analysis (DEA), a methodology for measuring the relative efficiencies among homogeneous Decision-Making Units (DMUs) and for yielding a reference target for and inefficient DMU along with the corresponding efficiency gap, has been used. The general use of DEA ha...

The demands of complicated data communications have issued a new challenge to port logistics systems. Customers expect ports to handle their generated administrative data while a vessel is docked in a port. One port logistics system, known as the Vessel Clearance Process (VCP), manages large numbers of documents related to port of entry. In the VCP...

Benchmarking requires an effective methodology for finding the best performer, which entails an evaluation of the relative efficiencies of competitors in terms of multiple input and output factors. To identify the best performer, Data Envelopment Analysis (DEA) has been popularly used. However, the conventional DEA has some deficiencies with respec...

Multi-criteria ABC inventory classification is one of the most widely employed techniques for efficient inventory control, and it considers more than one criterion for categorizing inventory items into groups of different importance. Recently, Ramanathan (2006) proposed a weighted linear optimization (WLO) model for the problem of multi-criteria AB...

In general, business processes of the port logistics are defined differently among each country and not be standardized. As a result, it makes very difficult for the port management driver to achieve the information interchange and process standardization. Also, inefficient result can be leaded to the situation that data are not integrated in the p...

DEA(Data Envelopment Analysis) is the relative efficiency measure among homogeneous DMU(Decision- Making Units) which can be used to useful tool to improve performance through efficiency evaluation and benchmarking. However, the general case of DEA was considered as unrealistic since it consists a benchmarking regardless of DMU characteristic by in...