Food product design with Wijaya Kusuma character based on pleasurable design

Understanding and appreciation of the identity of the Universitas Wijaya Kusuma Surabaya with the motto Anggung Wimbuh Linuwih, which means always growing and developing for the better, needs to be done. The strategy that can be applied is to design a superior product that has the character of Wijaya Kusuma This food product was designed with the nuances of the character of Wijaya Kusuma. The product that reviewed in this research is chocolate product. Food product design in this study used the concept of pleasurable design, which reviews product design from the aspects of functionality, usability, and pleasure. Pleasurable design was chosen with the consideration that this product design method involves customers as product users to participate in building product designs as needed and wanted. The purpose of this study was to determine the attributes of chocolate products according to market demand, as well as to design a chocolate product design with the character of Wijaya Kusuma values. Based on the research results obtained 16 product configurations based on seven product attributes (taste, sweetness level, texture, shape, packaging method, health benefits, and appearance/profile). Attributes that have a high importance value are attributes of appearance/profile and taste. Attributes of appearance/profile can directly describe the character of Universitas Wijaya Kusuma Surabaya. while the taste attribute is one of the key attributes in food products. Product design 5 (chocolate taste, slightly sweet, texture of slightly hard, rectangle shape, folded packaging method, no preservatives, and UWKS logo profile) became the selected product with a total utility value of 10.75.

ANALYSIS OF THE STATE OF SERVICEABILITY IN THE PROCESS OF WEAR OF ELEMENTS DURING THE OPERATION OF OIL AND GAS PRODUCTION EQUIPMENT

The generalized indicator of useful use, depending on the state of individual elements of oil-producing equipment, characterizes the ability of this equipment to perform its function during operation at optimal working time. The generalized indicator of the useful use of operational equipment can be described as the calculated sum of the indicator of the useful use of individual equipment elements. If, during operation, the oil-producing equipment retains its operability due to frequent replacement of its structural and non-structural elements, then such operational equipment is considered by users as outdated. Operating equipment can be divided into 6 categories according to the indicators of suitability. The article analyzes the state of useful use of equipment and, as a result, the total utility of equipment is calculated in accordance with the indicators of useful use by category, and graphs of changes in the state of useful use are constructed. Based on the study of the graphs of the useful use of equipment, it was proposed to conduct an analysis in the following areas: • Evaluation of the design and technological perfection of the equipment by users according to important new parameters. • Determination of equipment compliance with wear standards during operation. Keywords: structural element, wear theory, the usefulness of jam, categories, schedule of changes, reliability.

A Neural Network Auction For Group Decision Making Over a Continuous Space

We propose a system for conducting an auction over locations in a continuous space. It enables participants to express their preferences over possible choices of location in the space, selecting the location that maximizes the total utility of all agents. We prevent agents from tricking the system into selecting a location that improves their individual utility at the expense of others by using a pricing rule that gives agents no incentive to misreport their true preferences. The system queries participants for their utility in many random locations, then trains a neural network to approximate the preference function of each participant. The parameters of these neural network models are transmitted and processed by the auction mechanism, which composes these into differentiable models that are optimized through gradient ascent to compute the final chosen location and charged prices.

A Rehabilitation of the Law of Diminishing Marginal Utility: An Ordinal Marginal Utility Approach

The model in which an individual maximizes his ordinal or cardinal total utility has long been the paradigm of individual choice theory. However, the two mainstream utility theories, the ordinal and cardinal total utility theories, have caused a dilemma, i.e. one has to sacrifice one of the following two: the good property of utility ordinality, or common-sense notions such as the law of diminishing marginal utility. Ordinal theory keeps the former but gives up the latter, while cardinal theory keeps the latter but sacrifices the former. We propose an ordinal marginal utility approach aiming to solve this dilemma by changing the very first assumption regarding individual choice.

An Improved Revenue Distribution Model for Logistics Service Supply Chain Considering Fairness Preference

Revenue distribution is an important issue in the operations of a logistics service supply chain (LSSC). The existing works on revenue distribution are mostly based on the assumption of rational economic people that are purely self-interested. However, people also have a fairness preference, which impacts people’s decision-making behavior or even the success operations of the LSSC. For a two-level supply chain consisting of logistics service integrator (LSI) and several functional logistics service providers (FLSP), this paper establishes an improved revenue distribution model considering FLSPs’ inequity aversion. Specifically, the BO model (abbreviation of a model proposed by Bolton and Ockenfels in 2000) is improved to describe the FLSPs’ inequity aversion, which is combined into the conventional revenue distribution model. The proposed model aims to maximize the revenue of logistics service supply chain and obtains the best revenue distribution ratio of each member under equilibrium. In the numerical cases, the impacts of inequity aversion and the number of members with inequity aversion on the revenue distribution are discussed, respectively. The results show that a higher degree of FLSP’s advantageous inequity aversion corresponds to a lower revenue distribution ratio; a higher degree of FLSP’s disadvantageous inequity aversion corresponds to a higher revenue distribution ratio. Increasing the number of FLSP members with inequity aversion results in a higher profit of LSI and lower total utility of FLSPs and the utility of the supply chain. The more FLSP members with inequity aversion there are, the higher the LSI’s profit is, and the lower the total utility of FLSPs and the utility of supply chain are. In addition, the revenue distribution ratio of the FLSP increases with its relative fairness revenue coefficient among FLSPs.

MODELLING CONSUMER SATISFACTION BASED ON ONLINE REVIEWS USING THE IMPROVED KANO MODEL FROM THE PERSPECTIVE OF RISK ATTITUDE AND ASPIRATION

With the development of e-commerce, an increasing number of online reviews can serve as a promising data source for enterprises to improve online products. This paper proposes a method for modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration. Firstly, the attributes concerned by consumers are extracted from online reviews, and sentiment analysis of the extracted attributes is carried out using Standford CoreNLP. Secondly, to identify the types of product attributes, an improved Kano model is proposed based on the effects of product attributes on consumer total utility. On this basis, different attribute types are illustrated from the perspective of risk attitude. Then, the consumer aspirations are mined based on the risk attitudes of different attributes and the attribute impact on consumer satisfaction. According to the risk attitudes and aspirations of different attributes, the quantified satisfaction functions are constructed to provide more objective and accurate improvement suggestions. Finally, the proposed method is applied to the hotel service improvement to illustrate the effectiveness.

A Foundation for Logarithmic Utility Function of Money

This paper presents a study on the optimization problem of a consumer’s choice constrained to a single time interval. In this problem, the choice is made over a set of perishable goods such that they do not retain value at the end of the period. Money has been introduced as the only means available to store that value for the future. Thus, consumer utility is measured on the possible combinations of goods consumed during the period and money held at the end of the period. Additionally, a set of simple conditions are assumed to the utility functions for goods and money given by: (1) Existence of a total utility that is additively separable with respect to the components of goods and money; (2) continuity of the derivatives of the utility functions of money and goods up to the second degree; and (3) non-uniqueness of the matrix obtained by differentiating the system of equations obtained by the condition of optimum. The article shows how the requirement of homogeneity conditions limits the possible expressions for the utility function of money. One of them is the frequently used logarithmic function.

Tight Approximation for Proportional Approval Voting

In approval-based multiwinner elections, we are given a set of voters, a set of candidates, and, for each voter, a set of candidates approved by the voter. The goal is to find a committee of size k that maximizes the total utility of the voters. In this paper, we study approximability of Thiele rules, which are known to be NP-hard to solve exactly. We provide a tight polynomial time approximation algorithm for a natural class of geometrically dominant weights that includes such voting rules as Proportional Approval Voting or p-Geometric. The algorithm is relatively simple: first we solve a linear program and then we round a solution by employing a framework called pipage rounding due to Ageev and Sviridenko (2004) and Calinescu et al. (2011). We provide a matching lower bound via a reduction from the Label Cover problem. Moreover, assuming a conjecture called Gap-ETH, we show that better approximation ratio cannot be obtained even in time f(k)*pow(n,o(k)).