Estimating efficiency and its determinants in the hotel sector using a profit function

Inefficiency in the hotel sector is normally estimated through cost and scale efficiencies. This paper estimates hotel profit efficiency and its determinants employing a stochastic frontier profit function and the inefficiency effects function. The key advantage of this methodology is its ability to estimate efficiency for each hotel and the factors that explain differences in efficiency in a single-stage sampling procedure. The sample consists of 231 hotels in Spain in the period 2008–2012. Empirical evidence shows that the average level of profit efficiency is 45.85% and that age, labour productivity and location are determinants of this efficiency. Policy implications for the improvement of less efficient hotels are noted.     

Distributional effects of public transport subsidies

We analyze the distribution of transit subsidies across population groups in Stockholm. We develop a novel methodology that takes into account that the subsidy per passenger varies across transit links, since production costs and load factors vary. With this, we calculate the subsidy per trip in the transit network and analyze the distribution of subsidies across population groups. The average subsidy rate in Stockholm is 44%, but the variation across trips turns out to be large: while 34% of the trips are not subsidized at all but generates a profit, 16% of the trips have a subsidy rate higher than 2/3. We calculate the concentration index to explore the distribution of subsidies across income groups. The average subsidy per person is similar for all income groups, except for the top income quintile. This holds not only for the current flat-fare system, but also for distance-based fares and fares with a constant subsidy rate. Transit subsidies is hence not effective as a redistribution policy in Stockholm. The largest systematic variation we find is across residential areas: the average subsidy per person is five times higher in the peripheral areas of the region compared to the regional core, and the subsidy per trip is ten times higher.     

A novel model to manage air cargo disruptions caused by global catastrophes such as Covid-19

The outbreak of the COVID-19 pandemic has drastically disrupted the air cargo industry. This disruption has taken many directions, one of which is the demand imbalance which occurs due to the sudden change in the cargo capacity, as well as demand. Therefore, the random change leads to excessive demand in some routes (hot-selling routes), while some other routes suffer from a big shortage of demand (underutilized routes). Routes are substitutable when there are several adjacent airports in the Origin & Destination (O&D) market. In this market, demand imbalance between substitutable routes occurs because of the above reasons. To tackle the demand imbalance problem, a novel model is introduced to estimate the quantity combinations which maintains the balance between underutilized and hot-selling routes. This model is a variant of the classic Cournot model which captures different quantity scenarios in the form of the best response for each route compared to the other. We then cultivate the model by integrating the Puppet Cournot game with the quantity discount policy. The quantity discount policy is an incentive which motivates the freight forwarders to increase their orders in the underutilized routes. After conducting numerical experiments, the results reveal that the profit can increase up to 25% by using the quantity discount. However, the quantity discount model is only applicable when the profit increase in the hot-selling route is greater than the profit decrease in the underutilized route.     

考虑模糊不确定性的物流联盟收益核算

由于受到天气、油价、货运量、物流时效性等因素的影响,物流行业常存在模糊不确定性,使得在对物流成本及收益进行核算时,很难用精确实数来表示相关的参数。考虑物流联盟中的预期回货率及预期回程装载率等参数常需要用模糊数值来表示,基于物流成本的会计科目及基本核算理论,提出一种简单、实用的模糊不确定环境下物流联盟成本及收益核算方法,并通过实例分析,验证所提出方法的有效性。研究结果表明,该方法实用性较强,符合物流联盟的真实情况,可以有效运用于解决物流联盟的收益分配问题。     

Cooperatives for fruits and vegetables in emerging countries: Rationalization and impact of decentralization

We develop a (noncooperative) game theoretic model for a decentralized setting wherein fringe farmers compete with a two-tier cooperative network involving network farmers and a coordinator. We examine the roles of the coordinator and profit sharing in allocating costs/benefits of externalities in enhancing network efficiency and stability. Our main finding is that using profit sharing based mechanism the coordinator can overcome inherent inefficiency and instability of decentralization and noncooperative behavior of the network farmers. The roles of the coordinator and profit sharing are particularly important when it is economical for both network and fringe farmers to supply the product.     

A supply chain model of vendor managed inventory

This research evaluates how vendor managed inventory (VMI) affects a supply channel. Specifically, VMI always leads to a higher buyer's profit, but supplier's profit varies. In the short-term, VMI is found to reduce total costs of the channel system, but under certain cost conditions between buyer and supplier, it could decrease the purchasing price and supplier's profit. In the long-run, it could more likely increase supplier's profit than in the short-run. Finally, VMI is an effective supply chain strategy that can realize many of the benefits obtainable only in a fully integrated supply chain.     

Fair profit contract for a carrier collaboration framework in a green hub network under soft time-windows: Dual lexicographic max–min approach

This paper models a novel and practical bi-objective hub-location problem under a centralized carrier collaboration framework between one holding company and multiple carriers. The holding company first establishes a hub-and-spoke network in order to locate p hubs and to assign the center nodes to the located hubs. Then, it allocates the transportation routes of the hub network to the carriers. In contrast, the carriers should select an appropriate vehicle type to serve the transportation requests in a green hub network. The carriers are also able to meet the transportation requests within a certain time-window based on a soft time-window mechanism. Moreover, aiming to emphasize green transportation, a vehicle emission model is used to take into account CO₂ emissions of the vehicles where the fuel consumption is a function of speed level. Aiming to identify a win–win deal between the holding company and the carriers, a dual lexicographic max–min (LMM) approach is used in order to optimize their profits in a fair way. Finally, some numerical experiments are presented to demonstrate the applicability of the proposed methodology. The computational results show that not only the holding company and the carriers can better generate a fair profit contract among themselves using the LMM approach, but also both can obtain more profit in the worst case for their businesses rather than using the max–min approach. In addition, sensitivity analyses show that increasing the size of the soft time-window leads to a reduction in the delivery schedule violations, while results in raising the total profit. Moreover, the tax cost of fuel consumption as well as the number of potential vehicles has a substantial impact on both the fuel consumption and carrier’s profit.     

The potential economic viability of using the Northern Sea Route (NSR) as an alternative route between Asia and Europe

The Arctic Ocean has been greatly affected by climate change. Future predications show an even more drastic reduction of the ice cap which will open new areas for the exploration of natural resources and maritime transportation. Shipping through the Arctic Ocean via the Northern Sea Route (NSR) could save about 40% of the sailing distance from Asia (Yokohama) to Europe (Rotterdam) compared to the traditional route via the Suez Canal. However, a 40% reduction in distance using the NSR does not mean a corresponding 40% in cost savings due to many factors, including: higher building costs for ice-classed ships, non-regularity and slower speeds, navigation difficulties and greater risks, as well as the need for extra ice breaker service.The main purpose of this study is to investigate the economic potential of using the NSR as an alternative route between Asia and Europe by taking all the main factors into consideration. It focuses on economic aspect of the NSR, therefore navigation/ environmental/cultural/legal issues are not discussed.The economic study is conducted by a case study in which 4300 TEU container ships (both non-ice classed and ice classed) are employed to make year round service. The annual profit gained from regular service by a non-ice-classed ship via the Suez Canal for the entire year is compared to the annual profit gained from an ice-classed ship taking the NSR during the navigable months and Suez Canal for the rest of the year. There are three factors that influence the NSR the most: the navigable time of the NSR, Russian NSR fees and bunker prices. To make this study flexible, three scenarios for navigable time, three scenarios for Russian NSR fees as well as three scenarios for bunker prices are proposed. These assumptions are all combined with each other and the profit under each condition is then calculated. The overall comparison is made in order to see under which conditions the NSR is competitive with the Suez Canal.     

Privatization,corporatization, ownership forms and their effects on the performance of the world's major airports

This paper focuses on measuring and comparing productive efficiency and profitability among airports owned and operated by government departments, 100% government-owned corporations, independent airport authorities, mixed enterprises with government majority ownership and mixed enterprises with private majority ownership. The analysis is based on a cross-sectional, time-series dataset (2001–2003) for the major Asia-Pacific, European and North American airports. There is strong evidence that airports with government majority ownership and those owned by multi-level of government are significantly less efficient than airports with a private majority ownership; there is no statistically significant evidence to suggest that airports owned and operated by US government branches, independent airport authorities in North America, or airports elsewhere operated by 100% government corporations have lower operating efficiency than airports with a private majority ownership; airports with a private majority ownership achieve significantly higher operating profit margins than other airports; whereas airports with government majority ownership or multi-level government ownership have the lowest operating profit margin; and generally, airports with a private majority ownership derive a much higher proportion of their total revenue from non-aviation services than any other category of airports while offering significantly lower aeronautical charges than airports in other ownership categories excluding US airports. The results suggest that private–public–partnership with minority private sector participation and multi-level governments’ ownership should be avoided, supporting the majority private sector ownership and operation of airports.     

Solutions to the request reassignment problem in collaborative carrier networks

The paper considers an arrangement for exchanging transportation requests to facilitate collaboration among independent carriers. The goal is to maximize the total profit without decreasing the individual profit of the carriers. Two solution approaches are developed for this problem involving decentralized control and auction based exchange mechanisms. The results are compared with those obtained without collaboration and by a centralized control. They indicate that horizontal collaboration pays off even in highly competitive environments.     

Contract optimization with front-end fare discounts for airline corporate deals

This paper develops a non-linear programming model to design optimal corporate contracts for airlines stipulating front-end discounts for all nets, which are defined by combination of routes, cabin types, and fare classes. The airline’s profit is modeled using a multinomial logit function that captures the client’s choice behavior in a competitive market. Alternative formulations are employed to investigate the impact of price elasticity, demand, and competition on optimal discounting policies. A case study involving a major carrier is presented to demonstrate the model. The results indicate that airlines can increase revenues significantly by optimizing corporate contracts using the suggested model.     

Channel coordination under consignment and vendor-managed inventory in a distribution system

This paper deals with the problem of coordinating a vertically separated distribution system under vendor-managed inventory and consignment arrangements. We formulate the profit-maximization problem and carry out equilibrium analysis under cooperative and non-cooperative settings. In addition, a revenue-sharing scheme joint with a side-payment is proposed, which leads to Pareto improvements among channel participants. Our analysis reveals that the non-cooperative decentralization tends to price higher and stock less, which leads to a lower channel-wide profit. The consistent bias can be rectified by the dominant, cooperative wholesaler or by using the proposed two-part revenue-sharing mechanism.     

A matheuristic approach to the air-cargo recovery problem under demand disruption

Air cargo transport is subject to unpredictable changes in expected demand, necessitating adjustments to itinerary planning to recover from such disruptions. We study a flight rescheduling problem to react to cargo demand disruptions in the short run. To increase flexibility, we consider two different cargo assignment policies. We propose a matheuristic approach to solve the problem that provides high-quality solutions in a short computational time, based on column generation in which each subproblem is solved using an ad-hoc heuristic. The approach is tested on demand disruption instances containing up to 75 air cargo orders with different penalty levels. The results show that the proposed method improves profit by 54% over the solution generated by a commercial MIP solver within a 1-h time limit, and by 15% over the solution with the routes fixed as in the original flight planning that only allows cargo to be re-routed. We also show that there exist incremental benefits in the range of 3–5% by allowing cargo for a given order to be transported by various aircraft.     

Optimal delivery service strategy for Internet shopping with time-dependent consumer demand

This study attempts to optimize a delivery service strategy for Internet shopping by considering time-dependent consumer demand, demand–supply interaction and consumer socioeconomic characteristics. A nonlinear mathematical programming model is formulated for solving the optimal number and duration of service cycles for discriminating strategy by maximizing profit subject to demand–supply interaction. An example is employed to demonstrate the application of the model. Results suggest that discriminating service strategy is a better strategy in response to time-dependent consumer demand than uniform strategy. Finally, the proposed model is demonstrated to yield more profit than models that do not consider variations in consumer demand or demand–supply interaction.     

铁路客运营业利润指标问题研究

客运营业利润是铁路客运的主要效益指标。该指标与旅客运输收入成正比,与客运支出成反比。通过对客运营业利润指标的主要影响因素进行分析,指出制定列车开行方案要综合测算旅客需求、客流等对客票收入的影响,以及车辆配置、列车开行的运营支出,选择差额收益最大的方案。同时要大力开展客运营销,搞好客运服务,从而实现客运营业利润的最大化。     

Tourism and aesthetic design: enchantment,style, and commerce

In an era of intense global competition, companies are searching for ways to achieve competitive advantage. The development of visually attractive products and physical settings can aid in the creation of brand differentiation and influence the purchasing behaviour of consumers. Image and style are important within consumer culture, as can be observed in everything from automobiles and home furnishings to clothes and Internet sites. Design appears to have transformed an ever expanding range of goods and spaces into attractive and enchanting commodities and commercial environments. In this paper, it is argued that the appearance of hotels is increasingly characterized by a form of commodified enchantment, the product of an aestheticization process that aims to create novelty, surprise, and excitement. Aesthetic ennoblement has become a reflection of capitalism's drive to produce appealing and fashionable environments that turn pleasure and comfort into profit. In a world increasingly shaped by consumption and commerce, the place of aesthetics is more complex than mere decoration.     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

The value of information on supply risk under random yields

For companies facing challenge of managing unreliable supply sources, one of the operational goals is to increase the overall profit by improving performance of uncertain supply. We here develop stochastic decision frameworks which evaluate necessary information about uncertainties and help newsvendor and suppliers to enhance supply reliability. We first analyze the newsvendor’s purchasing decision under supply uncertainty and the derived decision framework is used to identify stochastic dominance conditions. We found that partial supply risk information is sufficient to determine regular ordering quantity, but to improve the overall profit, it is important to gather more information about stochastic dominance conditions.     

Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

On load balancing strategies for baggage screening at airports

We study load balancing policies for an airport baggage handling system (BHS). The performance of the screening subsystem is important as it can potentially cause traffic congestion of the whole BHS during peak period. Currently, the round-robin (RR) and the first-available (FA) polices are implemented at airports. This paper presents a simulative approach to evaluate the impact of load balancing policies on the system performance. Using discrete-event simulations, airport practitioners can assess the effectiveness of the policies according to the actual layout of a particular passenger terminal. In addition to the RR and FA, a join-shortest-queue (JSQ) policy is introduced. This scheme can be applied jointly with the RR for daily operations. A case study is presented to illustrate the characteristics of this scheme. Simulation results demonstrate that the RR-JSQ can replace the existing RR-FA for a better balanced load distribution and improve the overall system performance.