Design and implementation of a decision support framework for evaluating manufacturing alternatives

To be competitive in domestic and international markets, manufacturing management is routinely faced with the decision to automate or replace existing production facilities with advanced manufacturing technologies. Installation of advanced manufacturing technologies requires high capital investment, and there is much evidence to suggest that automation for automation's sake has proven to be costly and ineffective for many organizations. What makes the justification task more challenging is the lack of decision tools and methodologies that incorporate the intangible benefits from such investments. This research develops a decision support framework for modeling the evaluation and selection of manufacturing system investments. A multi-attribute decision approach is used to capture the quantitative and qualitative aspects of the decision problem. Based on data collected from slected sample from industry, this research synthesized attributes typically considered important in selection of manufacturing alternatives and established their relative importance. The effectiveness of the decision framework was evaluated using a case study, representative of an industrial application. A computer implementation of the decision framework provides a simulation model for structuring alternatives and estimating performance measures (attributes). This is integrated with a multi-attribute evaluation model for comparison of alternatives. Unlike commercial simulation systems that requires user understanding of the simulation system or language, the system developed in this research uses a natural language interface enabling its use without the need to understand the underlying programming structure. This research has two implications, practically and academically. It can assist decision makers to better understand and apply the justification process and the system behavior under different manufacturing scenarios. Academically, it can be used also as an educational tool for students to understand the justification process, and its tradeoffs and complexities

Steady-state analysis in simulation : an application of Schriber's truncation rule to complex queueing systems

The objective of many steady-state simulations is to study the behavior of a nonterminating system with a peak load of infinite duration. Due to the complexity of the system, the initial conditions of the system are often atypical that often requires the simulators to start the system with the empty and idle conditions. Consequently, deletion of some initial observations is required to reduce the initialization bias induced by atypical initial conditions. This paper studies the application of Schriber's truncation rule to the complex queueing systems (specifically, the two-machine and three-machine tandem queueing system) and the effects of parameter selection (i.e. parameters batch size and time between observations) on performance measures. Based on the previous studies of Schriber's rule on the one-machine system, parameters batch count and tolerance are held constant. Mean-squared error and half length are used as measures of accuracy and interval precision in comparing the results. The results of both systems show that time between observations and batch size are significant parameters, and the recommendations for the two-machine system can be generalized for the three-machine system. Increasing the number of machines in the system from two to three requires a careful reduction in the value of time between observations. Besides, multiple replications should be used to minimize the extreme results in determining the steady-state mean number of entities and the truncation point

PENGARUH PROPORSI DEWAN KOMISARIS INDEPENDEN DAN KEPEMILIKAN ASING TERHADAP LUAS PENGUNGKAPAN INTELLECTUAL CAPITAL

This research aimed to know the influence of proportion independent commissioner council and foreign ownership toward intellectual capital broad disclosure of the financial company sector on Indonesia Stock Exchange (BEI) in 2016-2018. This research was causal associative research. The sampling technigue used was purposive sampling. Based on the criteria that had been determined from 208 financial sector companies, the data was analyzed by using multiple regression analysis to know the variable influence of proportion independent commissioner council and foreign ownership toward broad disclosure of intellectual capital. The result of research showed that the proportion independent commissioner council and foreign ownership had significant positively toward broad disclosure of intellectual capital. Keyword : intellectual capital broad disclosure, proportion independent commissioner council, foreign owernshi

Saleh, Budiman1999(1).zip

To be competitive in domestic and international markets, manufacturing management is routinely faced with the decision to automate or replace existing production facilities with advanced manufacturing technologies. Installation of advanced manufacturing technologies requires high capital investment, and there is much evidence to suggest that automation for automation's sake has proven to be costly and ineffective for many organizations. What makes the justification task more challenging is the lack of decision tools and methodologies that incorporate the intangible benefits from such investments. This research develops a decision support framework for modeling the evaluation and selection of manufacturing system investments. A multi-attribute decision approach is used to capture the quantitative and qualitative aspects of the decision problem. Based on data collected from slected sample from industry, this research synthesized attributes typically considered important in selection of manufacturing alternatives and established their relative importance. The effectiveness of the decision framework was evaluated using a case study, representative of an industrial application. A computer implementation of the decision framework provides a simulation model for structuring alternatives and estimating performance measures (attributes). This is integrated with a multi-attribute evaluation model for comparison of alternatives. Unlike commercial simulation systems that requires user understanding of the simulation system or language, the system developed in this research uses a natural language interface enabling its use without the need to understand the underlying programming structure. This research has two implications, practically and academically. It can assist decision makers to better understand and apply the justification process and the system behavior under different manufacturing scenarios. Academically, it can be used also as an educational tool for students to understand the justification process, and its tradeoffs and complexities

SalehBudiman1999.pdf

To be competitive in domestic and international markets, manufacturing management is routinely faced with the decision to automate or replace existing production facilities with advanced manufacturing technologies. Installation of advanced manufacturing technologies requires high capital investment, and there is much evidence to suggest that automation for automation's sake has proven to be costly and ineffective for many organizations. What makes the justification task more challenging is the lack of decision tools and methodologies that incorporate the intangible benefits from such investments. This research develops a decision support framework for modeling the evaluation and selection of manufacturing system investments. A multi-attribute decision approach is used to capture the quantitative and qualitative aspects of the decision problem. Based on data collected from slected sample from industry, this research synthesized attributes typically considered important in selection of manufacturing alternatives and established their relative importance. The effectiveness of the decision framework was evaluated using a case study, representative of an industrial application. A computer implementation of the decision framework provides a simulation model for structuring alternatives and estimating performance measures (attributes). This is integrated with a multi-attribute evaluation model for comparison of alternatives. Unlike commercial simulation systems that requires user understanding of the simulation system or language, the system developed in this research uses a natural language interface enabling its use without the need to understand the underlying programming structure. This research has two implications, practically and academically. It can assist decision makers to better understand and apply the justification process and the system behavior under different manufacturing scenarios. Academically, it can be used also as an educational tool for students to understand the justification process, and its tradeoffs and complexities

Saleh, Budiman1999(2).zip

To be competitive in domestic and international markets, manufacturing management is routinely faced with the decision to automate or replace existing production facilities with advanced manufacturing technologies. Installation of advanced manufacturing technologies requires high capital investment, and there is much evidence to suggest that automation for automation's sake has proven to be costly and ineffective for many organizations. What makes the justification task more challenging is the lack of decision tools and methodologies that incorporate the intangible benefits from such investments. This research develops a decision support framework for modeling the evaluation and selection of manufacturing system investments. A multi-attribute decision approach is used to capture the quantitative and qualitative aspects of the decision problem. Based on data collected from slected sample from industry, this research synthesized attributes typically considered important in selection of manufacturing alternatives and established their relative importance. The effectiveness of the decision framework was evaluated using a case study, representative of an industrial application. A computer implementation of the decision framework provides a simulation model for structuring alternatives and estimating performance measures (attributes). This is integrated with a multi-attribute evaluation model for comparison of alternatives. Unlike commercial simulation systems that requires user understanding of the simulation system or language, the system developed in this research uses a natural language interface enabling its use without the need to understand the underlying programming structure. This research has two implications, practically and academically. It can assist decision makers to better understand and apply the justification process and the system behavior under different manufacturing scenarios. Academically, it can be used also as an educational tool for students to understand the justification process, and its tradeoffs and complexities

Tinjauan Yuridis Malpraktik Medik Dokter Menurut Undang-Undang Praktik Kedokteran

viii, 100

Tube Sealer Berbasis Arduino Uno

x, 39 hlm; ilus: 27 c

Memaksimalkan Potensi IPad dalam Pembelajaran Digital di Sekolah Menengah Atas

Penelitian ini bertujuan untuk mengetahui pemaksimalan potensi penggunaan iPad dalam pembelajaran digital di sekolah menengah atas. Jenis penelitian ini merupakan penelitian deskriptif kualitatif. Metode pengumpulan data penelitian berupa wawancara, FGD (Forum Group Discussion), dan observasi. Responden penelitian merupakan siswa kelas XI dan beberapa guru sekolah menengah atas. Wawancara dilakukan selama 2 bulan dimulai pada bulan Mei sampai Juni 2023. Wawancara dilakukan untuk mengumpulkan data informasi secara langsung mengenai penggunaan media pembelajaran berbasis digital. FGD bertujuan melakukan pendekatan pada siswa guna memperkaya wawasan akan pandangan, pengalaman, serta pendapat responden terkait materi yang akan dibahas. Sedangkan observasi dilakukan untuk mengumpulkan data lapangan mengenai pemanfaatan fasilitas yang tersedia. Penelitian ini adalah mengamati penggunaan media pembelajaran berbasis digital di ruang kelas terhadap proses pembelajaran. Hasil penelitian ini menunjukkan bahwa siswa kelas 11 MIPA berminat dalam menggunakan media pembelajaran digital berupa iPad. Siswa merasakan keefektifan dalam penggunaan media pembelajaran digital tersebut. Dalam penggunaan media pembelajaran digital ditemukan beberapa faktor pendukung dan penghambat dalam penggunaannya. Temuan dari penelitian ini bahwasannya dengan menggunakan media pembelajaran digital siswa mendapatkan hasil belajar yang baik