Demand Uncertainty, Inventory, and the Cost Structure

2021 ◽  
Author(s):  
Xin Chang ◽  
Kaz Kwok ◽  
George Wong
Keyword(s):  
Demand Uncertainty ◽  
Cost Structure ◽  
The Cost

scholarly journals Comparison of LPWAN Technologies: Cost Structure and Scalability

2021 ◽  
Author(s):  
Mohammad Istiak Hossain ◽  
Jan I. Markendahl
Keyword(s):  
Communication Technology ◽  
Service Providers ◽  
Communication Technologies ◽  
Cost Structure ◽  
Small Scale ◽  
Area Network ◽  
Wide Area Network ◽  
Generic Framework ◽  
Cost Efficient ◽  
The Cost

AbstractSmall-scale commercial rollouts of Cellular-IoT (C-IoT) networks have started globally since last year. However, among the plethora of low power wide area network (LPWAN) technologies, the cost-effectiveness of C-IoT is not certain for IoT service providers, small and greenfield operators. Today, there is no known public framework for the feasibility analysis of IoT communication technologies. Hence, this paper first presents a generic framework to assess the cost structure of cellular and non-cellular LPWAN technologies. Then, we applied the framework in eight deployment scenarios to analyze the prospect of LPWAN technologies like Sigfox, LoRaWAN, NB-IoT, LTE-M, and EC-GSM. We consider the inter-technology interference impact on LoRaWAN and Sigfox scalability. Our results validate that a large rollout with a single technology is not cost-efficient. Also, our analysis suggests the rollout possibility of an IoT communication Technology may not be linear to cost-efficiency.

scholarly journals The Policy Implications of the Cost Structure of Home Health Agencies

2014 ◽  
Vol 4 (1) ◽  
pp. E1-E24 ◽  
Author(s):  
Dana Mukamel ◽  
Richard Fortinsky ◽  
Alan White ◽  
Charlene Harrington ◽  
Laura White ◽  
...  
Keyword(s):  
Home Health ◽  
Cost Structure ◽  
Policy Implications ◽  
Health Agencies ◽  
Home Health Agencies ◽  
The Cost

scholarly journals Организация Олимпийских игр: анализ структуры расходов на предолимпийском этапе на примере Японии

2020 ◽  
Vol 55 (2) ◽  
pp. 15-29
Author(s):  
Mikhail E. Komarov
Keyword(s):  
Olympic Games ◽  
International Olympic Committee ◽  
Cost Structure ◽  
Nominal Group ◽  
Tokyo Metropolitan ◽  
Metropolitan Government ◽  
The Government ◽  
State Group ◽  
The Cost ◽  
The Olympic Games

В данной статье рассматривается актуальный вопрос расходов на организацию летних Олимпийских игр на предолимпийском этапе. В статье проводится анализ структуры расходов на рассматриваемом этапе на примере XXXII летних Олимпийских игр в Токио. Детально исследуется структура расходов на двух крупных подэтапах: подача заявки на проведение Игр и непосредственно организация Олимпиады, при этом отдельно выделяются расходы трёх основных групп: Международного олимпийского комитета (с фокусом на программе Олимпийской солидарности), условной группы бизнеса и условной группы государства. На первом подэтапе в условную группу государства входят Токийский муниципалитет, правительство Японии и Заявочный комитет Токио 2020, в то время как на автором рассматриваемом подэтапе место Заявочного комитета занимает учреждённый в 2014 г. после официального избрания Токио городом-организатором Организационный комитет Токио 2020. В рамках каждой из трёх основных групп приводятся конкретные проекты, проводится анализ статей расходов на их осуществление. Отдельно стоит выделить тот факт, что автор, являясь действующим сотрудником Организационного комитета Токио 2020, осуществляет детальное изучение проектов и статей расходов, зачастую не попадающих в поле зрения исследователей данной темы. Отдельно анализируются факторы и причины увеличения первоначального бюджета на организацию и проведение XXXII летних Олимпийских игр, в частности такие, как перенос соревнований по марафону и спортивной ходьбе из Токио в г. Саппоро, перенос Игр на 2021 г. в связи с угрозой распространения вируса COVID-19 и т.д. На основе имеющихся данных по состоянию на май 2020 г. выделяется ряд тенденций, связанных со статьями расходов отдельно взятых групп. Основываясь на данных проведённого исследования, автор делает вывод, что наибольшие расходы на предолимпийском этапе несёт условная группа государства, в рамках которой доли Токийского муниципалитета и Оргкомитета Токио 2020 условно равны. Ключевые слова: Олимпийские игры, Организационный комитет Токио 2020, структура расходов Олимпийских игр, Токийский муниципалитет, Заявочный комитет Токио 2020, Международный олимпийский комитет, экономика Олимпийских игр, предолимпийский этап, XXXII летние Олимпийские игры, программа Олимпийской солидарности. This article deals with the topical issue of the costs related to hosting the Olympic Games at the pre-Olympic stage. The article provides an analysis of the cost structure at this stage on the example of the Games of the XXXII Olympiad in Tokyo. The cost structure in two major sub-stages is studied in detail: bidding stage and the organizing stage, with the focus on the costs of three main groups: the International Olympic Committee (highlighting the Olympic Solidarity program), nominal business group and nominal state group. In the first sub-stage the nominal state group includes Tokyo Metropolitan Government, the government of Japan and the Tokyo 2020 Bidding Committee, while in the second sub-stage the Tokyo 2020 Bidding Committee is replaced by the Tokyo 2020 Organising Committee, established in 2014 after Tokyo was officially elected as the host city. Specific examples of the projects within each of the three main groups are indicated and the analysis of the costs related to their implementation is conducted. It is important to highlight the fact, that the author of the article, being the current employee of the Tokyo 2020 Organising Committee, has carried out a detailed study of projects and cost items that frequently are not covered by other researchers of this issue. The factors and reasons for increased budget, compared with the initial one, for staging and holding the Games of the XXXII Olympiad are analyzed separately; particular emphasis has been put on the transfer of the marathon and race walk competition from Tokyo to Sapporo city and on the postponement of the Games till 2021 due to the threat of the COVID-19 virus spread, etc. Based on the available data as of May 2020, a number of trends related to the cost items of the main groups are indicated. Based on the materials of this article the author concludes that the largest expenses at the pre-Olympic stage are borne by the nominal group of state, within which the shares of Tokyo Metropolitan Government and the Tokyo 2020 Organising Committee are conditionally equal. Keywords: Olympic Games, the Tokyo 2020 Organising Committee, Olympic Games cost structure, Tokyo Metropolitan Government, the Tokyo 2020 Bidding Committee, the International Olympic Committee, the economics of the Olympic Games, pre-Olympic stage, the Games of the XXXII Olympiad, Olympic Solidarity program.

Formation of the cost structure for bakery products in the format of economic cooperation with partners

2020 ◽  
pp. 74-81
Author(s):  
L. Golovina ◽  
E. Yurkov
Keyword(s):  
Cost Structure ◽  
Production Costs ◽  
Bakery Products ◽  
White Bread ◽  
Pricing Policy ◽  
Financial Condition ◽  
Retail Chains ◽  
The Cost ◽  
Baking Industry

The article examines important problematic issues of domestic bakery production. On the example of one of the bakeries of the Orel region, the changes in the list of production costs for the production of white bread for the period 1999-2019 are analyzed. The article discusses the benefits for the baking industry of canceling the return of unrealized bread from commercial enterprises. The reasons for the deterioration of the quality of wheat flour and white bread in the country's retail chains are considered. The problem of increasing the profitability of bakery production due to changes in the pricing policy is touched upon. The conditions for improving the financial condition of bakery enterprises, as well as the possibility of attracting investment in the industry, are considered.

Crowdfunding, Financing Constraints, and Real Effects

2020 ◽  
Vol 66 (8) ◽  
pp. 3561-3580 ◽  
Author(s):  
Praveen Kumar ◽  
Nisan Langberg ◽  
David Zvilichovsky
Keyword(s):  
Demand Uncertainty ◽  
Spot Price ◽  
Financing Constraints ◽  
Optimal Contract ◽  
External Financing ◽  
Real Effects ◽  
Discriminating Power ◽  
Individual Demand ◽  
Novel Interactions ◽  
The Cost

We study the feasibility and optimal design of presale crowdfunding contracts where participating consumers pay a premium above the future expected spot price and financially constrained entrepreneurs balance the potential product–market distortions introduced through presale crowdfunding against the cost of traditional external financing. Our analysis shows how such crowdfunding contracts enable the execution of projects that could not be otherwise undertaken and highlights novel interactions between the cost of capital, demand uncertainty, and production. Tighter financing constraints reduce the ability of the monopolist to extract surplus but, contrary to the usual result, may increase production. We evaluate how uncertainty and market size reduce the price-discriminating power of the monopolist and affect the optimal contract regime. Nevertheless, we show how such presale price-discriminating contracts are implementable even when the number of potential consumers is relatively high and their individual demand is stochastic. This paper was accepted by Gustavo Manso, finance.

Multi-objective and multi-period optimization of a regional timber supply network with uncertainty

2020 ◽  
Vol 50 (2) ◽  
pp. 203-214 ◽  
Author(s):  
Cheng Chen ◽  
Jianbang Gan ◽  
Zhengxiong Zhang ◽  
Rongzu Qiu
Keyword(s):  
Demand Uncertainty ◽  
Ghg Emissions ◽  
Fuzzy Linear Programming ◽  
Mixed Integer ◽  
Generic Model ◽  
Distribution Centers ◽  
Model Framework ◽  
Timber Supply ◽  
Supply Networks ◽  
The Cost

To assess the impacts of uncertainty and environmental objectives on the configuration of timber supply networks, we develop a generic multi-period, mixed-integer fuzzy linear programming model with demand uncertainty and two objectives of minimizing total transportation cost and greenhouse gas (GHG) emissions. We then use the triangular fuzzy number method to define the uncertain demands and convert the model into its equivalent auxiliary crisp counterpart. To derive Pareto solutions more efficiently, we propose the nondominated sorting genetic algorithm (NSGA-II) to solve the model. Finally, we apply the model framework and solution method to a real-world case of regional timber supply in Fujian, China, to demonstrate their applicability. The simulation results of the model show that trade-offs exist between total cost and GHG emissions and that the proper selection of the number and locations of distribution centers can help reduce both the cost and GHG emissions. Demand uncertainty and supply fluctuations across different time periods can increase the cost and GHG emissions. Our empirical results provide useful insights into the design and management of regional timber supply networks, and our generic model is applicable to the analysis of regional supply networks of other products or materials besides timber.

Adaptation of the service capacity in a queueing system which is subjected to a change in the arrival rate at unknown epoch

1978 ◽  
Vol 10 (3) ◽  
pp. 666-681 ◽  
Author(s):  
M. Yadin ◽  
S. Zacks
Keyword(s):  
Exponential Distribution ◽  
Queueing System ◽  
Arrival Rate ◽  
Cost Structure ◽  
Service Capacity ◽  
Service Intensity ◽  
Discounted Cost ◽  
Adaptation Policies ◽  
The Cost ◽  
Optimal Adaptation

The paper studies the problem of optimal adaptation of an M/M/1 queueing station, when the arrival rate λ0 of customers shifts at unknown epoch, τ, to a known value, λ1. The service intensity of the system starts at μ0 and can be increased at most N times to μ1 < μ2 < · · · < μN. The cost structure consists of the cost changing μi to μj (i + 1 ≦ j ≦ N); of maintaining service at rate μ (per unit of time) and of holding customers at the station (per unit of time). Adaptation policies are constrained by the fact that μ can be only increased. A Bayes solution is derived, under the prior assumption that τ has an exponential distribution. This solution minimizes the total expected discounted cost for the entire future.

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