Prioritization of Challenges for the Effectuation of Sustainable Additive Manufacturing: A Case Study Approach

Additive manufacturing (AM) is gaining significant importance, as demand for customized products is increasing nowadays. AM is one of the disruptive technologies of Industry 4.0, which can reduce waste generation, enabling sustainability. The adoption of sustainable practices in the manufacturing sector is due to the need of the current scenario to minimize harmful emissions and for human wellbeing. In this regard, AM technologies are integrated with sustainable manufacturing concepts to contribute toward sustainable AM (SAM), with various benefits from the design, manufacturing, use, and EoL perspectives. Still, many sustainability issues are associated with AM processes, namely limited speed and the uncertain performance of fabricated parts. From this viewpoint, it is essential to analyze the challenges associated with adopting SAM practices. This article presents identification and analysis of the potential challenges associated with adopting SAM practices. Fifteen SAM challenges have been identified from the literature survey and analyzed using the “Gray Technique for Order of Preference by Similarity to Ideal Solution” (G-TOPSIS) approach. The priority order of the challenges has been identified. The study identified that “training towards SAM benefits” and “limited materials recycling potential” were the significant challenges in adopting SAM practices in the manufacturing sector. The present study will help industry practitioners, decision makers, and researchers effectively analyze the challenges associated with SAM for its effective implementation. Researchers can utilize the findings of the study for establishing the guidelines for the adoption of SAM.

Sistem Pendukung Keputusan untuk Evaluasi Tingkat Kesejahteraan Masyarakat Menggunakan Metode PROMETHEE

Salah satu faktor tercapainya kesejahteraan masyarakat yaitu rendahnya tingkat penduduk miskin. Pemerintah berperan penting dalam mensejahterakan masyarakat dan pengentasan kemiskinan. Seleksi tingkat kesejahteraan masyarakat adalah salah satu masalah yang memerlukan keputusan yang tepat agar bantuan disalurkan kepada masyarakat yang membutuhkan tepat sesuai target. Oleh karena itu, dibangun sistem decision support menggunakan metode Promethee. Data penelitian berupa 220 data sampel keluarga dan melibatkan 15 kriteria dalam mengevaluasi tingkat kesejahteraan masyarakat bersumber pada Survei Sosial Ekonomi Nasional oleh Badan Pusat Statistik Provinsi Kalimantan Timur. Sistem yang telah dibangun memberikan output berupa urutan prioritas kesejahteraan masyarakat yang dapat dijadikan pertimbangan bagi pemerintah atau pihak terkait dalam penyaluran bantuan agar tepat sasaran Abstract One of the factors in achieving community welfare is the low poverty level. The government has an essential duty in the welfare of society and alleviating poverty. The evaluation of the welfare level is one of the problems that require the right decision so that the social assistance provided to people in need can be right on target. The study aims to deploy a system that utilizes the Promethee method for decision-makers. There is 220 family as the sample data evaluated involves 15 criteria for assessing the community welfare level sourced from the National Socio-Economic Survey by the Statistics of East Kalimantan Province. The decision support system built was able to result in priority order of community welfare level so that it could be a consideration or reference to the government or related agencies in distributing aid to make it right on target.

Greedy Matching in Bipartite Random Graphs

This paper studies the performance of greedy matching algorithms on bipartite graphs [Formula: see text]. We focus primarily on three classical algorithms: [Formula: see text], which sequentially selects random edges from [Formula: see text]; [Formula: see text], which sequentially matches random vertices in [Formula: see text] to random neighbors; and [Formula: see text], which generates a random priority order over vertices in [Formula: see text] and then sequentially matches random vertices in [Formula: see text] to their highest-priority remaining neighbor. Prior work has focused on identifying the worst-case approximation ratio for each algorithm. This guarantee is highest for [Formula: see text] and lowest for [Formula: see text]. Our work instead studies the average performance of these algorithms when the edge set [Formula: see text] is random. Our first result compares [Formula: see text] and [Formula: see text] and shows that on average, [Formula: see text] produces more matches. This result holds for finite graphs (in contrast to previous asymptotic results) and also applies to “many to one” matching in which each vertex in [Formula: see text] can match with multiple vertices in [Formula: see text]. Our second result compares [Formula: see text] and [Formula: see text] and shows that the better worst-case guarantee of [Formula: see text] does not translate into better average performance. In “one to one” settings where each vertex in [Formula: see text] can match with only one vertex in [Formula: see text], the algorithms result in the same number of matches. When each vertex in [Formula: see text] can match with two vertices in [Formula: see text] produces more matches than [Formula: see text].

Research on effects and influence by presenting information on priority order and oncoming vehicle to operators for teleoperation of multiple autonomous vehicles

With self-driving vehicles, it is possible to manage multiple vehicles from a remote location even if one observer does not have a driver in the driver’s seat. Therefore, demonstration experiments are being conducted in various places to remotely monitor two autonomous vehicles and operate them as needed. However, when one observer manages multiple vehicles, the amount of information that can be processed is limited. If we can assist with an appropriate amount of information, we may be able to manage more vehicles. In this study, we perform an experiment in which the priority and the type of assist information are changed and presented to the observer in the overtaking scene of a parked vehicle using a simulator. Focusing on the burden on the observer during remote management of multiple units, the purpose is to identify the information required for monitoring and reduce the burden from changes depending on the type of information to be assisted.

Implementasi Metode Analytical Hierarchy Process (AHP) untuk Evaluasi Pemasok Daging Sapi (Studi Kasus: Restoran Nominomi Delight, Jakarta)

The purpose of this research is to develop a performance appraisal method to get the priority order of four restaurant beef suppliers based on the weight of the selection criteria and by showing the indicators of each criterion, using the Vendor Performance Index and the Analytical Hierarchy Process (AHP) method. There are seven main criteria for assessing supplier performance, namely quality, cost, delivery, flexibility, responsiveness, solutions, and relationships which are then translated into thirty-eight sub criteria or indicators. With the AHP method, weights obtained from the seven criteria in the order of quality (0.371), cost (0.256), delivery (0.101), solution (0.078), flexibility (0.070), responsiveness (0.069), and relationship (0.055). The results of supplier selection based on the AHP method obtained the weight in the order of priority of suppliers, namely PT Sukanda Djaya (0.377). PT Indoguna Utama (0.349). Santosa Agrindo (0.146), and Amino Meat (0.128).

Operation Strategy of Parking Lots Integrated with PV and Considering Energy Price Tags

In recent years, the orderly charging of electric vehicles (EVs) in commercial parking has become a meaningful research topic due to the increasing number of EVs, especially for parking lots close to workplaces and serving fixed users. In this paper, a parking lot energy management system integrated with energy storage system (ESS) and photovoltaic (PV) system is established. The concept of energy price tag (EPT) is introduced to define the price of all energy storage devices, and the priority order between PV, ESS, EVs, and power grid is established. Taking the minimization of charging cost as the optimization objective, the charging plans of ESS, EVs, and buildings are optimized considering the constraints of EVs user demand and PV power. By comparing the simulation results of four cases, it is proven that this strategy can reduce the charging cost and improve the consumption rate of PV.

Rushed Decisions: Ethical Considerations for Digital Storytelling Practitioners

The American Dreaming project, a community-based participatory research study conducted in collaboration with the nonprofit organization Define American, focuses on bolstering the mental health of immigrant rights advocates between the ages of 25 and 40 years. All participants identify as undocumented or formerly undocumented and have been public with their status since 2012. Seven people were recruited for the pilot program to participate in a digital storytelling (DST) workshop. They created digital stories (videos approximately 3 minutes in duration) from a series of general story prompts about their lives. Participants also completed pre- and posttests with measures assessing change in posttraumatic stress disorder, stress, self-esteem, depression, belonging, social support, and resilience. Follow-up, semistructured workshop evaluations were gathered, and life history interviews were conducted. The project also included a strategic communications component. In this article, I outline ethical challenges faced as the goals and parameters of the project shifted while conducting a multifaceted critical narrative intervention. The key lesson learned was to make space, prior to the DST workshop, for establishing and agreeing on project priorities with all stakeholders. I recommend creating a one-page memorandum of understanding that includes (1) a brief project description outlining the objectives, (2) goals listed in priority order, and (3) a decision tree to help stakeholders navigate competing interests. While DST is a powerful tool for supporting storyteller agency, working within structures of funding, support, and research can create challenges that critically complicate the narrative intervention.

STRATEGI PEMASARAN ROTI DI KING’S BAKERY DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)

ABSTRACT Every industry must make gradual improvements in order to be able to compete in the era of globalization. King's Bakery is a home industry that produces bread. The condition of bread marketing in the King's Bakery business has not been maximized. This study aims to determine the order of priority criteria and sub-criteria in the selection of a bread marketing strategy at King's Bakery and which strategy should be chosen by King's Bakery based on the Analytical Hierarchy Process (AHP) method. Analytical Hierarchy Process (AHP) is a method for ranking decision alternatives and selecting the best one with several criteria. The Analytical Hierarchy Process (AHP) develops a numerical value to find a ranking or priority order of various alternatives in solving a problem, based on the extent to which each alternative meets the decision maker's criteria. The results of this study obtained an assessment of the importance of the criteria in the selection of a bread marketing strategy showing the following priority or weighting scale: the first priority was place (0.546), the second and third priorities are products and distribution channels with the same value (0.231), and the fourth priority was the organization (0.104). From the results of the assessment of the level of alternative importance in the selection of bread marketing strategies, the priority scale or weights are as follows: the first priority was strategy A (3.614), the second priority was strategy C (2.366), the third priority was strategy B (2,000). The best bread marketing strategy that can be used as an alternative to improve bread marketing was strategy A, because it has the highest overall weight value. With technological innovation, it will accelerate production and facilitate marketing for the company.

A Path Planning Strategy for Multi-Robot Moving with Path-Priority Order Based on a Generalized Voronoi Diagram

This paper proposes a new path planning strategy called the navigation strategy with path priority (NSPP) for multiple robots moving in a large flat space. In the space, there may be some static or/and dynamic obstacles. Suppose we have the path-priority order for each robot, then this article aims to find an efficient path for each robot from its starting point to its target point without any collision. Here, a generalized Voronoi diagram (GVD) is used to perform the map division based on each robot’s path-priority order, and the proposed NSPP is used to do the path planning for the robots in the space. This NSPP can be applied to any number of robots. At last, there are several simulations with a different number of robots in a circular or rectangular space to be shown that the proposed method can complete the task effectively and has better performance in average trajectory length than those by using the benchmark methods of the shortest distance algorithm (SDA) and reciprocal orientation algorithm (ROA).