Conceptual Framework for Efficient Inbound Supply Chain Analytics

Industry 4.0 is a terminology that denotes the era of industrial digitization with the emergence of new technologies in which data is the main focus of increasing company competitiveness in all aspects, including supply chain management systems. It has become one of the main focuses of companies to build resilience when dealing with the risk of uncertainties while still meeting the critical goal of improving the efficiency and responsiveness of customer needs. Therefore, supply chain analytics become essential for facilitating data-driven decision-making in planning, sourcing, making, and delivering functions. However, implementing supply chain analytics in developing countries limits only the traditional application silos and ignores disruptive emerging technologies such as cloud computing. This paper explores cases from the manufacturing and retail domains in Indonesia and discusses in detail the conceptual framework for efficient inbound supply chain analytics, which embodies the three characteristics of adequate supply chain visibility such as automation (implementation of automation technology), information (good data management), transformational (analytic application to display information) to meet the organization’s need for consolidated reports in all branches/subsidiaries. The aspect of inbound supply chain analytics is specified in the plan and source functions, consisting of eight supplier and inventory key performance indicators through the analytical descriptive data visualization aspect in the Analytics Dashboard

Solving a Real Problem in Plastic Industry: A Case in Trim-loss Problem

In this paper, a cutting plane model is presented for solving a problem in a cast polypropylene (CPP) plastic film manufacturer. The company produces plastic rolls from plastic pellets with widths ranging from 3 050 mm to 3 250 mm. The plastic rolls are trimmed according to customer’s orders. In prior to the trimming process, the production planning and inventory control (PPIC) department scheduled the machines and arranged the plastic trim compositions manually. In this work, the plastic trimming problem is solved by applying the trim loss model. Since trimmed loss problem is an NP-hard problem. In this case, the permutations are selected in advance so that the total length is feasible to the machine length. The computation is carried out using visual basic for application (VBA). The model outcomes are then used for optimizing the machine scheduling process. Modified earliest due date is proposed to schedule in which machines customer’s orders should be done. The machines scheduling represents the company conditions and the cutting production can be scheduled for daily basis. Keywords: cutting plane; cutting stock; earliest due date; machine scheduling; non-polinomial-hard problem

Contributions of Data Science Educational Paradigm in a Disadvantages Area of Indonesia: a case study

The purpose of this community service was to disseminate knowledge on Data Science to lecturers and students enrolled in the Information Systems Program Study at Cenderawasih University. Through a webinar series, participants learned about the importance of data science and analytics. This initiative aims to integrate Data Science into the curriculum, which is currently in its final stages. The introduction of a Data Science course expects to enhance the competencies of human resources in Papua, supporting the developmental efforts of the Indonesian Government. Feedback from participants indicates their satisfaction with the speakers, fulfillment of expectations, and acquisition of new knowledge. Considering their input, the upcoming activity will organize as a workshop

A Policy Strategy Evaluation for Covid-19 Pandemic in the City of Surabaya Using Vensim Ventana Dynamic System Simulation

The global Covid-19 pandemic has been a considerable concern worldwide. In Surabaya city, the government has taken particular measures to establish appropriate policies to overcome the Covid-19 pandemic. However, there has been no precise measure to verify the effectiveness of the policy in the future. This research aims to evaluate the Surabaya Government policy scenario using a dynamic system-based simulation with Vensim Ventana software. The initial model was designed with adopting the Covid-19 model made by Tom Fiddaman, Ventana System in 2020 adjusted to real conditions in Surabaya. The simulation results obtained from the initial validated model estimate that the Covid-19 pandemic would end on May 5, 2021, with total infected 15,876 people. The model was then developed by simulating several policy scenarios: herd immunity, convalescent plasma therapy, and swab test to predict policys impact. The best-case scenario is gained by combining the convalescent plasma therapy policy and increasing the number of swab tests at Labkesda to 4,000 samples per day. The simulation results prediction shows the pandemic will end 52 days earlier, with the percentage of the infected population 23.77% smaller than the initial model. It can be concluded that the governments strategy of collaborating the two policies is effective to overcome the pandemic in Surabaya. Nevertheless, the implementation of policies to overcome this pandemic success with contributions from all elements of society

A Policy Strategy Evaluation for Covid-19 Pandemic in the City of Surabaya using Vensim Ventana Dynamic System Simulation

The global Covid-19 pandemic has been a considerable concern worldwide. In Surabaya city, the government has taken particular measures to establish appropriate policies to overcome the Covid-19 pandemic. However, there has been no precise measure to verify the effectiveness of the policy in the future. This research aims to evaluate the Surabaya Government policy scenario using a dynamic system-based simulation with Vensim Ventana software. The initial model was designed with adopting the Covid-19 model made by Tom Fiddaman, Ventana System in 2020 adjusted to real conditions in Surabaya. The simulation results obtained from the initial validated model estimate that the Covid-19 pandemic would end on May 5, 2021, with total infected 15,876 people. The model was then developed by simulating several policy scenarios: herd immunity, convalescent plasma therapy, and swab test to predict policy’s impact. The best-case scenario is gained by combining the convalescent plasma therapy policy and increasing the number of swab tests at Labkesda to 4,000 samples per day. The simulation results’ prediction shows the pandemic will end 52 days earlier, with the percentage of the infected population 23.77% smaller than the initial model. It can be concluded that the government’s strategy of collaborating the two policies is effective to overcome the pandemic in Surabaya. Nevertheless, the implementation of policies to overcome this pandemic success with contributions from all elements of society

BUSINESS PROCESS REENGINEERING: CONCEPTS CAUSES AND EFFECT

Some people made a wrong concept about Business Process Reengineering (BPR). Some were misunderstanding about the BPR term. In other way, so many researches were introduced to describe a better definition about BPR. The thinking about concepts, causes, and effect of BPR will make a new perception about the term of BPR itself as a better methodology instead of the other Quality Management Methodology such as Total Quality Management (TQM), Just In Time (JIT), etc. This paper will mention the context of BPR in some of case study's journal

SISTEM INFORMASI MANUFAKTUR DALAM KERANGKA KERJA SISTEM INFORMASI MANAJEMEN

The value of an information is more valuable than the value of an investment. To make in information needs a system that can produce an accurate & priceless information. Management Information System needs to be defined more details to get a specific information, especially for production activity (manufacturing). Manufacture Information System can support the whole manufacture activity to make a good product in means of time, cost and also quality. Abstract in Bahasa Indonesia : Nilai sebuah informasi lebih berharga daripada nilai investasi. Oleh karena itu, dalam membuat sebuah informasi diperlukan sebuah sistem yang dapat membuat sebuah informasi yang tepat dan akurat. Sistem Informasi Manajemen perlu didefinisikan lebih detail untuk mendapatkan informasi yang lebih spesifik, khususnya untuk kegiatan produksi (manufaktur). Sistem Informasi Manufaktur dapat mendukung kegiatan manufaktur secara keseluruhan untuk menghasilkan produk yang baik dari segi waktu, biaya dan kualitas. Kata kunci: Sistem Informasi Manajemen, Sistem Informasi Manufaktur

The Development of Manufacturing Process Analysis: Lesson Learned from Process Mining

Process analysis is recognized as a major stage in business process reengineering that has developed over the last two decades. In the field of manufacturing, manufacturing process analysis (MPA) is defined as performance analysis of the production process. The performance analysis is an outline from data and knowledge into useful forms that can be broadly applied in manufacturing sectors. Process mining, an emerge tool focusing on process perspective and resource perspective, is a way to analyze system based on the event log. The objective of this study is to extend the existing process analysis framework by considering attribute perspective. This study also aims to learn the lessons from some experiences on process mining in manufacture industries. The result of this study will help manufacturing organizations to utilize the process mining approach for analyzing their respective processes

PRODUCT DATA MANAGEMENT DALAM KAITAN DENGAN CAD/CAM

The future industry is the one who can manage the information system. Today, communication technology and distributed system computerization already have the ability to implement system that able to exchange and share information between different users. Product Data Management (PDM) is an up-to-date and excellent method on managing the exchange and share of information. PDM is able to integrate and manage data analyzing process and documentation of the related product component physically. By adjusting the CAD/CAM on certain condition, the PDM will function maximally by using the information based on STEP (Standard for the Exchange of Product Data model). This article will explain the relationship between PDM system and CAD/CAM on industry. Abstract in Bahasa Indonesia : Sistem informasi merupakan ujung tombak sebuah perusahaan yang unggul di masa depan. Komputerisasi dengan sistem yang terdistribusi dan teknologi komunikasi saat ini memiliki kemampuan untuk mengimplementasikan sistem yang dapat menukar dan men-share informasi antar user yang berbeda. Teknologi yang mendapat cukup perhatian luas dalam hal pertukaran dan sharing informasi ini adalah Product Data Management (PDM). PDM dapat mengintegrasikan dan mengatur proses pengolahan data dan dokumen teknik yang berhubungan dengan komponen fisik produk yang bersangkutan. PDM akan berfungsi maksimal apabila kesesuaian dengan CAD/CAM diatur sedemikian rupa, dihubungkan dengan informasi berbasiskan STEP (Standard for the Exchange of Product Data model). Artikel ini akan menjelaskan hubungan antara sistem PDM dengan CAD/CAM dalam industri. Kata kunci: PDM, Manajemen Data, CAD/CAM, STEP