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During the use phase of Product-Service Systems (PSS) various kinds of usage data describing the interaction of user and PSS are collected. This information could be used to design PSS tailored to the needs of the users, but in industry this possibility is not utilized due to a lack of support for the analysis of the data. In this paper we present an approach and a model for systematically integrating...
It has been known that chloride penetration can cause detrimental effects on concrete structures especially in the marine environment. In this study, we investigate the penetration of chloride ions into the concrete structures and factors that may influence the maintenance plan by mathematical approach. With the aid of a simple model derived from Fick's second law and the finite difference techniques,...
Due to the durability and sustainability, concrete pipes have been widely used in many water management systems. As they are buried underground, several factors such as soil and pipe properties, installation strategies, functional and external loads may involve in determining their failure and service life. In this study, we investigated the effects of such factors on the stress distribution of a...
Improving customer satisfaction is important in order to create a good relationship between a company and its customers which will give benefit to both sides. One way to accomplish it is by conducting quality improvement. Quality improvement has a strong relationship with the customer satisfaction, so it is an important issue in manufacturing. This paper discusses an optimization model to allocate...
Given an initial marking and final marking for a Petri net model, an optimal firing sequence problem is defined as the problem to find an optimal transition firing sequence to minimize the objective function. For the purpose of analysis of general integer programming problems, we propose a Petri net representation and reachability analysis of integer programming problems. In the proposed method, an...
In this paper, we discuss, model and heuristically solve a particular container transport problem, related to the inland transport between a sea port and an inland terminal directly connected to it, called dry port. The transport is undertaken by a heterogeneous fleet. Similarly to the classical vehicle routing problem with pickup and delivery (VRPPD), vehicles can deliver containers to the different...
To obtain an automatic and intelligent monitoring system, RFID is used to aid with CCTV system which is an innovative method. Therefore, some problems exist as integrating these two technologies, and signal loss is one of the problems as RFID signal is vital to the final result. Since the targets which are necessary to be monitored through the CCTV system are dynamic, the experiments in this research...
Every company stores more and more product data. Most of the data are not analyzed and possible findings cannot be used. But the utilization of existing knowledge can make the system development process more efficient. Therefore, this paper focuses on the data analysis of system architectures. It develops a concept to identify patterns between system architectures of different products in a database...
Rice is the staple food consumed by approximately 95% of the Indonesian population. Thus, rice becomes one of the strategic issues and all decisions regarding rice impact the population. The Indonesian government targets to achieve food security and rice-sufficiency, which are attainable considering the fact that the total annual domestic rice production has exceeded the total national consumption...
This is an ongoing research project combines System Dynamics (SD) and participatory modelling to identify variables forming the Russian Federation construction innovation system and to create an initial comprehensive conceptual model supported by stakeholder-based techniques. Quantification of this complex and dynamic construction innovation system is complicated as it includes a range of components...
The modularization strategy can dramatically shorten the lead time and reduce the cost of complex products development, and module partition is the basis of the modularization. In this paper, a complex network module is built to represent the complex product structure, and using interval-valued intuitionistic fuzzy sets to calculate the weights of the edges of the network model are brought to illustrate...
A company's ability to fulfill its obligations is evaluated as its credit rating by rating agencies. In recent years, learning models including a neural network and support vector machine have been applied to financial data, to predict company credit ratings with a high degree of accuracy. However, the number of companies that have yet to be rated is overwhelmingly greater than the number of companies...
This paper presents a conceptual framework of a neural network control approach for robot manipulator cooperative, which is based on decentralized learning. Back propagation neural network is used for learning procedure to adapt and adjust the neuron-controller's parameters which depend on the approximated error. Dynamic model of two cooperating 3-DOF robot manipulators are defined and implement with...
This paper considers a single machine total weighted tardiness (SMTWT) problem which has been proved to be NP-hard. A meta-heuristics algorithm, Variable Neighborhood Search (VNS), is proposed to solve this problem. In the proposed VNS, multiple neighborhood structures are performed. The searching method is systematic for considering searching direction and searching depth. Based on extensive computational...
This paper considers a two-stage hybrid flowshop problem where there are a single batch processing machine and a single machine. Each job with release time is assigned into some batches. The waiting time between the batch processing machine and the single machine is limited to make the problem more practical. A MIP model is developed to describe the proposed problem. Since the problem is NP-hard,...
In order to improve the competitiveness of the container terminal, how to reduce the truck waiting time is the key point. In this paper, the optimization of double different size crane (DDSC) system with different truck ready time is studied. Firstly, a mathematical model for the minimum of truck waiting time is established. Then, genetic algorithm is designed to formulate an optimum DDSC scheduling...
Venture capitalists financing is the main source to keep start-ups up and running. Financial support is not the only thing VCs provide, sometimes they are asked to provide advice and sometimes they force their advice. When and what type of help VCs can give were researched in qualitative multiple-case study setting in top Silicon Valley unicorns - Uber, Airbnb, Snapchat, Pinterest and Dropbox. Their...
Product-service design (PSD) is one of the prevailing approaches for combining product and service offerings in a consumer market. Both design companies and industries are searching for ways to offer better products and services to meet the ever-changing demand in customer's preference. Taking the amount of design information generated during the design process, management of design information and...
This paper proposes a prediction model for forecasting the hard landing problem. The landing phase has been demonstrated the most dangerous phase in flight cycle for fatal accidents. The landing safety problem has become one of the hot research problems in engineering management field. The study concentrates more on the prediction and advanced warning of hard landing. Firstly, flight data is preprocessed...
Safety behavior of construction workers is crucial to safety outcomes, and such behavior can be affected by different ways of risk perception. This research first identifies four main ways of risk perception: risk consequence, risk probability, risk utility, and direct risk perception, and then examines whether they are distinct. Further, the effects of these distinct risk perception ways on workers'...
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