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International Journal of Industrial Engineering and Engineering Management
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 26854090     DOI : https://doi.org/10.24002/ijieem
Core Subject : Engineering,
Industrial & Manufacturing Engineering
International Journal of Industrial Engineering and Engineering Management (IJIEEM) is an open access scientific journal that publishes theoretical and empirical peer-reviewed articles, which contribute to advance the understanding of phenomena related with all aspects of Industrial Engineering and Engineering Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 7 Documents
 1 
Search results for , issue "vol. 8 no. 1 (2026)" : 7 Documents clear
Improving Incubator Manufacturing Performance Through RPW-Based Line Balancing and Constraint Management Fredy Sumasto; Febriza Imansuri; Indra Rizki Pratama; Abdul Wahid Arohman; Sanurya Putri Purbaningrum
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.11454

Abstract

In the regulated field of medical device manufacturing, optimizing production efficiency without compromising compliance is critical, particularly for small and medium-sized enterprises (SMEs) operating in resource-constrained environments. This study addresses production inefficiencies in the assembly of the TSN 89 TR neonatal incubator at PT Tesena Inovindo, an Indonesian manufacturer, by implementing an integrated improvement framework. The approach combines Lean Manufacturing for process stabilization, the Ranked Positional Weight (RPW) method for line balancing, and the Theory of Constraints (TOC) for bottleneck resolution. Time study data were collected across 30 cycles per task to ensure reliable estimates of average cycle times, based on the Central Limit Theorem. The initial production system exhibited unbalanced workloads, high idle time, and frequent work-in-process (WIP) accumulation. After reconfiguration, the number of workstations was reduced from ten to eight, the cycle time decreased by 23.8%, and daily output increased from four to six units. Line efficiency improved from 67.2% to 89.5%, with idle time dropping from 32.8% to 10.5%. These gains were achieved without automation or additional labor, relying solely on empirical task analysis and workflow redesign. The study offers a replicable, low-cost framework for optimizing semi-manual assembly lines in regulatory environments. It demonstrates that substantial performance improvements can be achieved through structured, data-driven interventions, making it particularly valuable for SMEs in emerging markets seeking ISO 13485 compliance and operational excellence.
Integrating SWOT and Business Model Canvas for MSMEs Development Bayu Wahyudi; Nidya Wisudawati; Adellia Gustianda
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.10890

Abstract

MSMEs Pempek Koyek is a business engaged in the production of traditional Palembang food, facing several challenges, including a decline in sales due to the COVID-19 pandemic, limited promotional activities, a lack of an online store, and a less strategic location. This study aims to identify and analyze the internal and external factors that affect the business, and to formulate effective strategies for growth. A mixed-methods approach was adopted, using SWOT analysis and the Business Model Canvas (BMC) framework. Data collection included observations, interviews with owners, customers, and stakeholders, and surveys distributed to 122 respondents identified using Slovin's formula. The SWOT analysis revealed that the company is positioned in Quadrant I, suggesting the adoption of an aggressive Strength-Opportunity (S-O) strategy. Key strategies include using social media and e-marketplaces to promote high-quality products, forming strategic partnerships with the hospitality industry, diversifying product offerings, enhancing social media engagement, and optimizing customer service with faster delivery. The BMC approach focused on enhancing key activities, including raw material sourcing, product innovation, and digital marketing. The results of this study provide valuable insights into the strategic development of MSMEs, particularly in the food sector, by combining internal strengths with external opportunities. The findings contribute to the growing body of knowledge on MSME development and offer practical strategies for business sustainability in a competitive market environment.
Printing Parameter Optimization of Flexible Strain Sensor for Maximum Strain Level Analysis Faiq Ramadhani; Wangi Pandan Sari
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.11523

Abstract

This study explores the optimization of printing parameters for Flexible Strain Sensors (FSS) produced using fused deposition modeling. The experimental design utilizes a Taguchi L18 orthogonal array to assess the impact of five parameters—substrate material, sensor thickness, printing temperature, printing speed, and layer height—on the maximum tensile strain (elongation at break) of the printed sensors. The findings indicate that thermoplastic polyurethane (TPU) significantly enhances strain capability compared to polylactic acid (PLA). The optimal parameter combination consists of a sensor thickness of 0.3 mm, a printing temperature of 210 °C, and a printing speed of 40 mm/s, with variations in layer height having a minimal influence. Validation testing confirmed the optimization results, achieving a maximum tensile strain of 26.3% with strong agreement between predicted and experimental responses.
Novel NGT-DEMATEL Method for Interrelationship Management of Safety Conformity in a Bottling Process Plant Shedrach Aliakwe Martins; Sunday Ayoola Oke; Adeyemi Adebayo Ogundare; Joseph Ifeolu Orisaleye; Samuel Bolaji Aderibigbe; John Rajan; Swaminathan Jose; Abdulfatai Folawuyo Ahmed
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.11526

Abstract

The NGT (nominal group technique) is a structured brainstorming decision-making method with the ability to reach a quick consensus and incorporate all voices in safety management. The DEMATEL method is used to establish safety measure influential parameters, their interdependence, and their impacts on each other. This article presents the NGT-DEMATEL method based on the NGT and DEMATEL methods and uses real-time bottling process data to test the proposed method. The results reveal that for segments 1 to 5, the casual groups, having positive (Sr – Sc) values, are sorters (0.3523), rescuers (0.6271), sugar handles (0.4332), haulage drivers (1.0958), and haulage truck mates (0.2442) for segment 1; sighters (0.2981), washer operators (0.7459), and technical operators (utilities) (0.3761) for segment 2; sugar lifters (2.8805) and ETP technicians (1.1935) for segment 3; forklift technician (1.6203) for segment 4; kitchen (0.0399) for segment 5. However, the effect groups are forklift drivers (-0.8338), chip neck removers (-1.5044) and extra bottle removers (-0.4143) for segment 1; filler operators (-0.3078), palletizers/depalletizers (-0.0421), chip neck removers (-0.9615), packers/unpackers (-0.1086) for segment 2; syrup mixers (-2.5812), laboratory technicians (-1.4505) and water technicians (-0.0423) for segment 3; welders (-1.1380) and battery changers/technicians (-0.4823) for segment 4; security (-2.4973), and contractor 2 (safety boot suppliers) (-1.0840) for segment 5. The most important criteria in segments 1 to 5 are forklift drivers, sighters, syrup mixers, welders, and security. The principal novelty of this article is that it introduces a procedure to concurrently incorporate consensus and the voices of workers while establishing the interrelationships of the various workers using the NGT-DEMATEL method. This is the first article to develop and use NGT-DEMATEL for safety conformity in the bottling process plant.
Applying System Dynamics to Evaluate Lean Manufacturing Interventions in a Traditional Bakery: A Case-based Conceptual Approach Fredy Sumasto; Najla Aulia; Arif Setiadi; Fahriza Putra Zaman; Muhammad Raihan Adil; Febriza Imansuri; Indra Rizki Pratama; Dianasanti Salati; B. Handoko Purwojatmiko
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.11805

Abstract

Small and medium-sized enterprises (SMEs) in the traditional food sector often face operational inefficiencies caused by disorganized workspaces, inefficient layouts, and limited adoption of structured improvement practices. These challenges are particularly evident in small bakeries where manual production processes and spatial constraints disrupt workflow continuity. This study aims to analyze the relationships between operational inefficiencies and Lean Manufacturing interventions using a System Dynamics approach. A qualitative case study was conducted at Toko Roti Gelora, a traditional bakery in Jakarta, Indonesia. Data were collected through direct observation, informal interviews, and document analysis over a ten-week field study. Lean diagnostic tools, including Value Stream Mapping and Fishbone Diagram analysis, were employed to identify sources of operational waste. The findings were synthesized into a Causal Loop Diagram (CLD) to represent feedback structures influencing production efficiency. The results identify four key feedback loops shaping the bakery’s operations: two reinforcing loops representing the escalation of inefficiencies and the development of Lean culture, and two balancing loops representing system stabilization through 5S implementation and layout improvements. These interactions suggest how Lean interventions may contribute to reducing search time, motion waste, waiting time, and excess inventory while supporting the development of workplace discipline over time. The study contributes by integrating Lean Manufacturing and System Dynamics to propose a systemic framework for analyzing operational efficiency in SME production systems.
Development of a Tourist Area Using SWOT Method in Buntu Kandora Tana Toraja District Andi Pawennari; Arfandi Ahmad; Muhammad Dahlan; Ihwan Safutra
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.8727

Abstract

Buntu Kandora is one of the tourist areas listed in the South Sulawesi Provincial Tourism Development Master Plan (2015–2030) and the Tana Toraja Regency Spatial Plan (2011–2031). This area has great potential to be developed into a leading tourist destination because of its natural beauty, cultural richness, and man-made attractions. This study aims to identify the potential, characteristics, and obstacles to the development of the Buntu Kandora tourism area, as well as to formulate appropriate development strategies. The method used is qualitative through direct observation and distribution of questionnaires to stakeholders, with data analysis using the SWOT method. The results of the study indicate that the most appropriate strategy is the S-O (Strengths–Opportunities) strategy, which is utilizing internal strengths to capture external opportunities. The proposed strategies include developing tourist attractions, improving accessibility and infrastructure, and involving local communities in tourism development.
Combined Application of CRITIC and Back Propagation Neural Network Prediction Method for Vehicle Emission Parametric Evaluation in Logistic Networks and Distribution Systems Sunday Ayoola Oke; Alexander Iwodi Agada; Bayo Yemisi Ogunmola; Henry Ogbemudia Omoregbee; Modupe Adeoye Onitiri; Nehemiah Sabinus Alozie; John Rajan; Swaminathan Jose; Pandiaraj Benrajesh
International Journal of Industrial Engineering and Engineering Management Vol. 8 No. 1 (2026)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v8i1.9607

Abstract

Logistic network and distribution services in the packing industry generate vast amounts of vehicle emissions, which are difficult to control due to the lack of scientific guidance. This paper predicts the emissions from vehicles engaged in logistic networks. The CRITIC (Criteria Importance Through Inter-criteria Correlation) method is integrated with the backpropagation neural network (BPNN) to analyze the input parameters of the emissions process from vehicles plying roads in the packing industry. The packing industry transports goods in packages and delivers them to customers in a road network. The application of the integrated CRITIC-BPNN method is demonstrated by using the dataset of a packing industry in India, obtained from the literature. The results revealed how the packing industry can translate its environmental control strategy into a parametric framework, yielding diverse outputs to assist in selecting optimal decisions. The proposed method exhibits unique characteristics. (1) It emerges as the first decision-making tool for objective criteria-based vehicle emission process control and could serve as a tool for logistics planning. (2) It employs integrated ideas of multi-criteria analysis and neural networks. (3) Objective and optimal emission analysis decisions are advanced through an analysis of multi-criteria tools. By employing the CRITIC method, the conflicting objectives of the emission process are successfully tackled and synchronized objectively to arrive at robust weights used in the back propagation neural network method for the final prediction. Moreover, the neural network method uses intelligence to gather data and translate it into usable forms to predict vehicle emissions.

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