A Multi-Criteria Assessment of Manufacturing Cell Performance Using the AHP Method

Research of manufacturing cell design problems is still pertinent today, because new manufacturing strategies, such as mass customization, call for further improvement of the fundamental performance of cellular manufacturing systems. The main scope of this article is to find the optimal cell design(s) from alternative design(s) by multi-criteria evaluation. For this purpose, alternative design solutions are mutually compared by using the selected performance criteria, namely operational complexity, production line balancing rate, and makespan. Then, multi-criteria decision analysis based on the analytic hierarchy process method is used to show that two more-cell solutions better satisfy the determined criteria of manufacturing cell design performance than three less-cell solutions. The novelty of this research approach refers to the use of the modification of Saaty’s scale for the comparison of alternatives in pairs based on the objective assessment of the designs. Its benefit lies in the exactly enumerated values of the selected criteria, according to which the points from the mentioned scale are assigned to the alternatives.

Determination of Alternative Design of Hornbill Estuary Embankment in Semarang City with Process Hierarchy Analysis Method

Rob’s condition in Semarang is exacerbated by the decrease in the soil level which has a part in the expansion of rob puddles. Therefore, this research is needed to determine the alternative design of the Tenggang River estuary embankment. Researchers collect data with interviews and surveys, then made analysis with Analytical Hierarchy Process (AHP) method which is one of the decision making models in the selection of Embankment Design, the levee design consists of three selected design alternatives. This research focused on decision making based on perceptions of Professionals, Experts, Academics and community leaders.. Where the design of the Embankment consists of 3 alternative designs with priority factors based on analysis and equations of the criteria in the selection of the design, namely, topographic factors (0.133), geology (0.312), hydrology (0.125), Society (0.186), cost (0.113) and benefit (0.131).

Wave and sedimentation simulation of jetty construction to protect estuary, case study in Batang, Indonesia

To protect the estuary from sedimentation and waves need a jetty structure. This study discusses the alternative jetty design to be simulated for waves and sediments. The research was located in Batang Regency, Central Java Province. The study objective is to simulate wave and sediment for alternative estuary protection. Preliminary data are collected include topography and bathymetry, tidal observation data that include research area. The secondary data were wind data from BMKG of Semarang Station. The wind data used was each hour data for 16 years in the years 2004 to 2019. To simulate the wave and sediment, a software MIKE was used for the two alternative design. The first alternative using 2 jetties with 100 m length and the second alternative using two jetties with addition length for east side. Based on the sediment transport simulation result, the second alternative design put less 5 cm a year then the first alternative. The evaluation based on cost, time period construction, construction methods, According to the scoring, the first alternative design will be choose to the design and construction step.

An alternative design and implementation of a solid state on-load tap changer

Power quality and reliability are of great importance in the modern world, whether it be the power generated by the power utilities or the power consumed by the customer respectively. They need these supplies to be at its optimum value so that the cost is effective, and the safety of devices assured otherwise problems such as overvoltage, under-voltage, and voltage sags caused by disturbances in the power supply could be disastrous. On-load tap changers (OLTC) have therefore been used since the inception of electrical engineering. The main function of the OLTC is to change the turns of the transformer winding so that the voltage variations are limited without interrupting the secondary current.The major idea is that the electronic switches and other smart systems provide more controllability during the tap changing process, unlike mechanical switches.This paper presents an alternative design and implementation of a low-cost solid-state OLTC and employs a control strategy that is microcontroller-based, ensuring the desired flexibility and controllability required in programming the control algorithms.It eliminates the limitations of both mechanical and hybrid OLTCs (arcing, slow response time, losses) and is user-friendly (provides an effective communication medium). Voltage regulation is achieved by varying the turns of the transformer winding whiles it is energized, supplying load current and with the tap selection carried out on the primary side. Therefore, this approach provides a less expensive system but ensures the efficiency and reliability of voltage regulation.

Autonomously Learning About Meaningful Actions from Exploratory Behaviour

<p>The thesis addresses the problem of creating an autonomous agent that is able to learn about and use meaningful hand motor actions in a simulated world with realistic physics, in a similar way to human infants learning to control their hand. A recent thesis by Mugan presented one approach to this problem using qualitative representations, but suffered from several important limitations. This thesis presents an alternative design that breaks the learning problem down into several distinct learning tasks. It presents a new method for learning rules about actions based on the Apriori algorithm. It also presents a planner inspired by infants that can use these rules to solve a range of tasks. Experiments showed that the agent was able to learn meaningful rules and was then able to successfully use them to achieve a range of simple planning tasks.</p>

Autonomously Learning About Meaningful Actions from Exploratory Behaviour

<p>The thesis addresses the problem of creating an autonomous agent that is able to learn about and use meaningful hand motor actions in a simulated world with realistic physics, in a similar way to human infants learning to control their hand. A recent thesis by Mugan presented one approach to this problem using qualitative representations, but suffered from several important limitations. This thesis presents an alternative design that breaks the learning problem down into several distinct learning tasks. It presents a new method for learning rules about actions based on the Apriori algorithm. It also presents a planner inspired by infants that can use these rules to solve a range of tasks. Experiments showed that the agent was able to learn meaningful rules and was then able to successfully use them to achieve a range of simple planning tasks.</p>

TOrPEDO: witnessing model correctness with topological proofs

Model design is not a linear, one-shot process. It proceeds through refinements and revisions. To effectively support developers in generating model refinements and revisions, it is desirable to have some automated support to verify evolvable models. To address this problem, we recently proposed to adopt topological proofs, which are slices of the original model that witness property satisfaction. We implemented , a framework that provides automated support for using topological proofs during model design. Our results showed that topological proofs are significantly smaller than the original models, and that, in most of the cases, they allow the property to be re-verified by relying only on a simple syntactic check. However, our results also show that the procedure that computes topological proofs, which requires extracting unsatisfiable cores of LTL formulae, is computationally expensive. For this reason, currently handles models with a small dimension. With the intent of providing practical and efficient support for flexible model design and wider adoption of our framework, in this paper, we propose an enhanced—re-engineered—version of . The new version of relies on a novel procedure to extract topological proofs, which has so far represented the bottleneck of performances. We implemented our procedure within by considering Partial Kripke Structures (PKSs) and Linear-time Temporal Logic (LTL): two widely used formalisms to express models with uncertain parts and their properties. To extract topological proofs, the new version of converts the LTL formulae into an SMT instance and reuses an existing SMT solver (e.g., Microsoft ) to compute an unsatisfiable core. Then, the unsatisfiable core returned by the SMT solver is automatically processed to generate the topological proof. We evaluated by assessing (i) how does the size of the proofs generated by compares to the size of the models being analyzed; and (ii) how frequently the use of the topological proof returned by avoids re-executing the model checker. Our results show that provides proofs that are smaller ($$\approx $$ ≈ 60%) than their respective initial models effectively supporting designers in creating model revisions. In a significant number of cases ($$\approx $$ ≈ 79%), the topological proofs returned by enable assessing the property satisfaction without re-running the model checker. We evaluated our new version of by assessing (i) how it compares to the previous one; and (ii) how useful it is in supporting the evaluation of alternative design choices of (small) model instances in applied domains. The results show that the new version of is significantly more efficient than the previous one and can compute topological proofs for models with less than 40 states within two hours. The topological proofs and counterexamples provided by are useful to support the development of alternative design choices of (small) model instances in applied domains.

Packaging Design Model Of Talang Salted Fish Processing Industry Using Value Engineering Method

One of the products that need attention, especially related to packaging, is the Talang Salted Fish product, which has been selling Talang Salted Fish without using packaging. So that this study aims to design the packaging of talang salted fish to add selling value which can later be an attraction for consumers to buy it. The method used is value engineering and the analytical hierarchy process (AHP). The value engineering method is applied to increase the value, performance, and cost of packaging design consisting of brand criteria, net weight measurement, product identity, attractiveness, color suitability, typography, and font size. The Analytical Hierarchy Process method is applied at the analysis stage to help determine the priority criteria in accordance with the wishes of consumers. The results showed that the alternative design with the highest performance value was alternative 1 (A-B-D-E), namely the design with packaging materials made of transparent plastic, the colors used were bright, the packaging was rectangular and all capital letters were used. This selected alternative design has a value of 0.039. This value is obtained from the performance of 38.9 and the cost of Rp. 1000 per pack.