Indonesia Conference Directory

Corresponding Author
PRASUN KUMAR DAS

Institutions
Indian Statistical Institute
Kolkata, India
dasprasun[at]rediffmail.com

Indian Statistical Institute
Kolkata, India
susantagauri[at]hotmail.com

Abstract
Introduction: The scope of this study is limited to the supply chain of a FMCG retail business spreading through retail outlets and connected with the central warehouse. Manual intervention of requisitioning quantity of footwear on daily basis, from the retail outlets to the warehouse, was creating frequent problems of both stock-out resulting loss of sale and higher inventory resulting higher holding cost. Instead, both can be within an acceptable level if the requisitioning quantity truly considers the sale/demand distribution. The objective of this study was, therefore, to develop a scientific inventory policy for determination of requisitioning quantity for footwear, based on actual sales of all outlets. Methods: Considering the size wise break-up, daily sales data of sampled items of sampled outlets, spread over various states, was captured for two consecutive years along with records of re-order levels (ROL). It was observed from the time plots that both mean and variability of demand change over time. The extreme values of observed sales distribution of items accommodate both the effects of mean and variability, and, change in time points reflects the seasonal/festive effects on mean and variability. With this understanding, a simple exponential smoothing model, using pth percentile point of distribution of daily sales data for past recent N days, is proposed for determination of requisitioning quantity. Keeping in mind that the overall stock-out% should remain at a low level, the optimal values of N, α and p were determined empirically as 30 days, 0.3 and 0.99 respectively based on daily sales of randomly selected items from first year data. Results: The usefulness of the model was validated against the daily sales data of randomly selected footwear items of second year prior to its implementation across outlets. First, the stock-out% and average inventory, that actually occurred based on the earlier subjective method, were estimated. Then, they were estimated using the fitted model for determination of the requisitioning quantity. It was further noted that the average inventory would have reduced by 31% without increase in average stock-out%, and the sales to inventory ratio would have increased by 75%. Conclusions: Determination of requisitioning quantities for footwear items, using the fitted model at fixed interval of one month, would reduce average inventory and thus holding cost without increasing average stock-out%. However during festive/seasonal period, the interval for ROL modification should not exceed seven days to absorb the sudden change of demand pattern. The overall requisitioning quantity for items in outstation outlets is the sum of the requisitioning quantities determined by the fitted model and lead-time demand. Software has been developed for calculating the requisitioning quantity of any item at any day in an outlet, using the fitted model. Subsequently, the cost-benefit analysis was done on new sale data to sho

Keywords
FMCG Retail, Supply Chain, Exponential Smoothing, Requisitioning Quantity, Stock-out, holding cost

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/Gj4XzLqcm2Pp

Corresponding Author
Md. Mahbub Alam

Institutions
Independent University, Bangladesh
Dhaka, Bangladesh
dralam.mm[at]gmail.com

Abstract
Abstract - The study assesses the tomato supply chain, and identifies opportunities and constraints in the value chain of tomato from farm to market. The Estimated Benefit Cost Ratio (BCR) for tomato framing and the value addition of stakeholders along the value chain are also analysed here. The value chain model was endorsed by more than two hundred value chain actors, including consumers, retailers, traders, farmers and officials of the relevant agricultural agency. The data was analysed by using a simple statistical technique. The study results indicate that tomato farming is profitable for smallholders. However, the farmers grasp the lowest stake of the added value, while the retailers enjoy the utmost.

Keywords
Keywords – supply, value, chain, tomato, BCR

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/ENXJ9eZ7L2Qq

Corresponding Author
Luu Tien Thuan

Institutions
a Can Tho University, Can Tho city, Vietnam ltthuan[at]ctu.edu.vn
b Can Tho Bureau of Customs, Can Tho city, Vietnam thuanntb[at]customs.gov.vn
c Can Tho University, Can Tho city, Vietnam ntntrang[at]ctu.edu.vn

Abstract
The study is conducted to determine the factors that affect the level of information sharing between supply chain partners. 157 SMEs in the Mekong Delta were interviewed by using convenience sampling method. The Cronbach-s Alpha, exploratory factor analysis, multiple regression and discriminant analysis methods were used in this research. The result showed that information sharing was positively influenced by 7 factors: firm size, IT enablers, top management, trust in supply chain partners, commitment of supply chain partners, shared vision between supply chain partners and technology uncertainty; but negatively affected by customer uncertainty. Information sharing between supply chain partners is not impacted by supplier uncertainty. The result also indicated that IT enablers, technology uncertainty and commitment of supply chain partners were the three most important factors in discriminating between the organizations with high levels of information sharing and those with low levels of information sharing. Moreover, the levels of information sharing are depended on the organizational characteristics (types, operation years, total assets and number of employees). Finally, the paper has contributed on literature review and practical application in the case of SMEs in Vietnam.

Keywords
information sharing, supply chain, supply chain management

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/H6G7aMD2BkJ8

Corresponding Author
Elfindah Princes

Institutions
Bina Nusantara University, Jakarta, Indonesia
University of Queensland, Brisbane, Australia

Abstract
Modern technology has set the business competition to a much higher level. With the increasing number of population all around the world, the proper supply chain management to ensure products availability is inevitably required. Modern Manufacturing industry must put in extra efforts in all fields, especiallly in the manufacturing process to make the products are ready on time, at the right place, for designated customers. This will certainly be not easy because the world is changing continuously. Using systematic literature review, this paper will discuss the disruptive challenges faced by modern manufacturing industry and the alternative solutions.

Keywords
supply chain management ; supply chain; disruptive challenges

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/U8wDGWqNbKrV

Corresponding Author
Elfindah Princes

Institutions
Bina Nusantara University

Abstract
Ambidextirity has been a great solution for many problems so far especially in the world of industry. The swift and unpredictable changes in the market have pushed the industry to integrate ambidextrous capabilities in all aspects, in this case Modern Manufacturing process. Manufacturing talks about the Supply Chain Management from the beginning until the products reach the markets. There has been so many debates about how Ambidextirity will effect the Modern Manufacturing, will it create burdens or instead will it give positive effects? The previous researches have been contradictory between one another. Using systematic literature research, the writer will analyse the needs of integrating ambidextirity into the Modern Manufacturing Era of Industry 4.0 to increase the competitive advantage for the company.

Keywords
Ambidextirity; modern manufacturing ; industry 4.0 ; competitive advantage

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/UDu2mtkPvWCV

Corresponding Author
EVAN RANDIKA

Institutions
PPM School of Management
prog-wm[at]ppm-school.ac.id

Abstract
Introduction : Companies can survive and develop in the future are companies that can take advantage of change and create value added for all stakeholders. Several studies prove that companies that have a lean process in all parts of the organization will create value added for organizations and customers, increase competitiveness, lower operating costs, and more resilience to external pressure. In carrying out the ship repair business, Yasa Wahana Tirta Samudera (YWTS) Shipyard has the goal of continuously improving the quality of their service, so that by doing so, YWTS could achieve efficiency and effectiveness in term of cost. Finding : In the current state, YWTS main problems are stagnation in Operating Profit Margin from 2015, second, a decrease in cash and cash equivalents from 2015, and a decrease in Inventory Turnover(ITO) from 15.6 in 2015 to 8.94 in 2018. METHOD : The problem-solving process in this system will use the Theory of Constraint method as an analytical framework, while this method also identifying, analyzing, and removing constraints that limit the companys value-added processes. In the process of solving problems, the author needs to analyze the main causes of the problem using the Current Reality Tree (CRT) diagram. The cause of the main problem chosen is the one which has a contribution value of 80% of the overall problem in the System (Undesirable Effect). Those main causes are silo thinking, lack of cost control system, and recapitalization of the document (Opname Pekerjaan and other documents) are not using computerized yet. Then, using Evaporating Cloud diagram, a lean strategy is proposed to eliminate the cause of the problem. Furthermore, Future Reality Tree (FRT) diagrams will give a description of the Desirable Effect, namely growth in Operating Profit Margin (OPM) and an increase in cash and cash equivalents. These goal revealed to be a medium-term action plan designed using the Transition Tree (TRT) diagram. RESULT & CONCLUSION : The result from this research is generate lean strategy that contains 5 ultimate program which can be implemented by company to increase their performance. Their programs are, "Development of visual management control and improvement community", "Development of software and computer-based system", "Development of material management”, “Development of cost center system”, and “Development of competency, skills, and knowledge”.

Keywords
Lean, Theory of Constraint, Cost Reduction, Impact-effort Matrix, Waste Elimination, Cost of Quality, Shipyard.

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/eaq4kZMG7PcQ

Corresponding Author
Nandini Das

Institutions

SQC&OR unit
Indian Statistical Institute
203 B T Road
Kolkata- 700108
India
nandini[at]isical.ac.in, nandinipd[at]rediffmail.com

Abstract
1. Introduction In today-s competitive environment, vendor selection is considered as a strategic issue in the effective management of a supply chain. In most industries, the cost of raw materials and component parts represents the largest percentage of the total product cost. Therefore, selecting the right suppliers is the key to procurement process For many years, the traditional approach to supplier selection has been to select suppliers solely on the basis of price. Keeping in view the strategic importance of the supplier-s role in the functioning of supply chains the researchers have developed number of criteria, methods and models for supplier selection. This study involves a comprehensive review of different methods of supplier selection available in the literature and suggests a new approach based on statistical analysis on different characteristics of the supplier. 2. Methods The present study was carried out in Indian ferro-alloys industry to evaluate the suppliers- performance with respect to different quality characteristics of the raw material i.e. chrome ore. Data was collected in a planned manner on different quality characteristics of different lots supplied by different suppliers. An assessment of the existing quality status of Chrome ore, supplied by various suppliers, was done by multivariate analysis of variance (MANOVA). Duncans Multiple Range Test was used to classify the suppliers into homogeneous groups. Vendor rating was done on the basis of the obtained score using desirability function. Based on desirability value suppliers were ranked. 3. Results Results of multivariate analysis of variance shows there exist a significant difference in the quality characteristics of the different suppliers. Since different quality characteristics are having different specifications and are measured in different scales it is needed to convert them in a single 0-1 scale which is done using desirability function. For each supplier each quality characteristic was converted to a desirability value in the same scale. Combining the desirability values of each characteristics a single desirability value was obtained using geometric mean. This gives an index of the performance status of a supplier. Comparing these performance index the suppliers were ranked and the best one was selected. 4. Conclusions This study presents a structured methodology for supplier selection and evaluation based on statistical analysis considering all quality characteristics of all suppliers. This methodology can be applied for vendor selection and vendor rating for any industry irrespective of its nature of products and its characteristics. The use of desirability function converge all characteristics of the supplier into a single point in a 0-1 scale and desirability value of each supplier indicates its performance index in a 0-1 scale. Hence it has a vast scope of application. After selecting a suitable supplier its performance can be

Keywords
Vendor selection criteria, Multivariate ANOVA, desirability function

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/bVwrXqnEhpJm

Corresponding Author
Muhamad Faiz Gunarwan

Institutions
ab PPM School of Management, Jakarta, Indonesia
faiz.gunarwan[at]gmail.com

Abstract
PT XYZ is an e-Logistics startup company that provides an application system service in the form of a trucking platform technology that connects the shippers and the transporters in case of the assignment of shipping goods. To optimize the function of the application system, PT XYZ needs to build a collaborative environment with shippers and transporters in their service supply chain management. Based on the data, the COGS of MP increased drastically, and the number of Loss of Sales (LoS) for “MP not Available” is very high. This is due to the lack of collaborative relationships with MP transporters. Therefore, to overcome the issue requires a partnership strategy between PT XYZ and MP transporters. This research using the approach of interviewing, observing, and distributing questionnaires with the selected respondents. Using a descriptive qualitative and quantitative analysis, it was found that at present the partnership which being undertaken has a type of 2 (Medium). Then, the type of partnership which they want is type 3 (High). From the gap analysis, it produced 3 new partnership targets in the form of the development of the existing target to overcome the issue of COGS and LoS. The new targets is the basis for the design of the partnership strategy implementation for period of 2019-2021.

Keywords
Partnership Strategy, Service Supply Chain Management, Startup, Marketplace, Application Systems

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/X38CHwGMTkF7

Corresponding Author
Eliot Simangunsong

Institutions
Universitas Prasetiya Mulya, Jakarta and Indonesia
elliot[at]pmbs.ac.id
Universitas Prasetiya Mulya, Jakarta and Indonesia
rudy_handoko[at]pmbs.ac.id

Abstract
Introduction: The rise of social media in the digital era is considered important for anybody because it helps people to communicate and share information with each other online. Because it has become a necessity, it is not surprising that the number of social media users has increased. This also has an impact on increasing various online activities, including business activities. The ease of sharing information and communicating through social media can help entrepreneurs and consumers to conduct business activities or buy and sell online. Methods: This phenomenon is an inspiration for researchers to uncover the role of social media in Indonesia in business activities, knowing the factors that can influence a social media follower who initially "likes" to "buy", so that it can be developed into a social commerce model. This model is then validated using a quantitative research method, according to the type of business or industry that is suitable to be marketed through social media. By surveying users of social media, 547 data is collected that consists of social media entrepreneurs and social media buyers. Results: Adapting Wu He (2017) model, the results of data analysis showed that many buyers on social media also make sales on social media. Further analysis using regression also confirms that the frequency of using social media has a strong influence on buying behavior on social media. There is a pattern in which companies also use social media as part of their supply chain. Conclusions: The results of this study are useful in the management of business operations or start-up companies that use social media. Social media helps businesses to reach consumers easily and quickly without needing to spend a lot of money and energy.

Keywords
Social media, social commerce, digital era, business transformation, business operations

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/EnjYZUCVPAcb

Corresponding Author
Teguh Bagus Surya

Institutions
PPM School of Management, Jakarta, Indonesia
teguhbagus.official[at]gmail.com
yunus.erlinda[at]gmail.com

Abstract
Introduction: Service quality is one of the most important factors to achieve customer satisfaction. Improving service quality in logistics operations has been considered by a number of studies as a strategic initiatives since the competition arises due to industry growth. Eklof et al. (2018) showed that customer satisfaction and loyalty significantly influence the company-s profitability, including Return on Assets (ROA), Return on Equity (ROE), Profit Margin, and Operating Income. Furthermore, the study concluded that increasing customer satisfaction leads to more profitability. Parasuraman et al. (1988) developed SERVQUAL model to evaluate service quality, which has been used in various industries including logistics. Several studies also integrated the model with other tool,such as Importance-Performance Analysis (IPA) and Quality Function Deployment (QFD). Integration of SERVQUAL, IPA, and QFD was used in improving service quality in telecommunication (Darmawan dan Wurjaningrum, 2014), restaurant (Cheng, Tsai, dan Lin, 2015), perbankan (Kurniawati dan Singgih, 2015), dan manufaktur (Murali et al., 2016). This integration will not only produce robust service quality evaluation, but also develop strategy to generate competitive advantage, especially in logistics industry. This study aimed at analyzing the trucking service quality gap, determining the most critical service quality attributes, and developing strategies for service quality improvement through integration of Gap Analysis, Importance-Performance Analysis (IPA), and Quality Function Deployment (QFD). Methods: This study used combination of quantitative and qualitative research design. Data was collected using purposive sampling in a trucking company headquartered in Semarang, Central Java. The sample was exported from company-s customer database from 2016 to 2018. A questionnaire was administered using online survey and generated 9,6% of response rate (48 of 500). Data was further analyzed with descriptive statistics using Excel and SPSS. Results: Gap Analysis followed by paired-sample t test showed that all 18 attributes of logistics service quality have negative gaps, indicated that in general, the company-s service quality was still under good performance. Among five quality dimensions, “Customer Focus” has the biggest average value of negative gap (-0,667), followed by “Information Quality” (-0,556), “Order Fulfillment” (0,542), “Corporate Image” (-0,533), and “Timeliness” (-0,478). All attributes were then mapped on the IPA matrix, resulted in well-distributed points in four quadrants, namely quadrant I (keep up the good works), quadrant II (possible overkill), quadrant III (low priority), and quadrant IV (concentrate here). The attributes located in quadrant I and IV will be furthered utilized in developing strategies using Quality Function Deployment approach. Conclusions: Strategy development using QFD resulted in five strategies

Keywords
Service Quality, Gap Analysis, Importance-Performance Analysis, Quality Function Deployment, Trucking

Topic
Operation and Supply Chain

Link: https://ifory.id/abstract/vn9Zg8tRjVuK