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Nowadays, in order for wine companies to reach a world-class standard, it is necessary to implement the industry best practices and continuously adapt their logistics processes. Through benchmarking, these enterprises can find opportunities for improvement. So far, little research in benchmarking and performance measurement has been developed for t...
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... the wine supply chain described earlier, several instantiations are possible depending on the wine segment produced, the market, the actor in the supply chain, etc. For example, a winery that delivers in the overseas market under a FOB (Free-On-Board) schema has a particular supply chain, as shown in Fig. ...
Citations
... In multiple sections of the wine sector, there have been attempts at developing frameworks to better measure performance management generally. Garcia et al. [28] suggested a framework for improving logistics and supply chain performance in the wine industry, by using logistically relevant KPIs to utilize and benchmark. This approach suggested promising insights and feedback for improvement when applied to a case study of six wineries in the Mendoza region in Argentina [28]. ...
... Garcia et al. [28] suggested a framework for improving logistics and supply chain performance in the wine industry, by using logistically relevant KPIs to utilize and benchmark. This approach suggested promising insights and feedback for improvement when applied to a case study of six wineries in the Mendoza region in Argentina [28]. ...
This study aimed to improve an existing static benchmarking tool for the economic sustainability of small and medium enterprises (SMEs) in the wine sector to develop and elevate it into a dynamic online dashboard decision support system (DSS) for economic sustainability. Development was conducted in line with a user-centered-development process in four main steps. In the first step, producers’ expectations for an optimal tool were elicited using a qualitative approach of 24 in-depth interviews with long-term users of the existing PDF reports. Among the 10 requirements, producers requested an overall summary assessment of the most important KPIs of their business (including the provision of ideal values), intuitive visual presentations, long-term time developments, flexible reference groups, and short comments. Based on the wine producers’ systemized responses, the first version of the online benchmarking tool was designed and implemented in cooperation with experienced online designers and programmers. In the third step, a usability test was conducted to elicit options for further improvements that were implemented before the fourth step, the release of the final version to the industry. The systematic development process outlined and established here and the released DSS tool that is publicly available with open access provide valuable insights for institutions planning similar future dashboards for other sectors, particularly for SMEs. This constitutes an important step toward the development of more holistic support tools for sustainability performance measurement across all pillars of sustainability moving forward. To the best of the authors’ knowledge, the DSS developed represents the first online dashboard tool for economic sustainability for SMEs globally and in the wine sector.
... Corkindale and Welsh [8] conducted a qualitative analysis of measuring winery success within and among Australian regions alone, while Chinnici et al. [9] used a national average as a benchmark to compare the financial performance of Sicilian wineries. Further studies resorted to only analyzing performance within regions, or using regions of foreign countries as a frame of reference [10][11][12]. Nonetheless, a comprehensive comparison of winery performance (n = 723 Italian wineries) in Italy by Sellers and Alampi-Sottini [13] revealed a positive relationship between winery size and winery performance, begging the question: Is the region of origin a reliable factor for benchmarking winery performance indicator values, or could a comparison by size groups provide more meaningful insights? ...
To assess a wine producer’s economic sustainability, it is useful to benchmark its economic indicators against a suitable reference group. Existing research mainly compares wine businesses either by region or by size alone. There is a research gap concerning which of the two benchmarking factors can be more suitable or whether both factors are required. Using a framework of economic sustainability benchmarking figures, the effects of region and size, as well as the effect of their interactions, on 10 economic indicators were estimated through an ANOVA and the estimation of effect sizes. The analysis is based on a unique data set of business data averages of 382 German wine estates across six agricultural years (2014–2019). Region and size both had a significant influence on 7 out of 10 benchmark indicators. Wine estates from distinct regions more strongly differed in their primary indicators of production factors, price and yield as well as secondary indicators of cost and productivity. Contrarily, wine estates of diverse size groups more strongly differed in their tertiary indicators of profitability and return, which are key indicators of economic sustainability. Both size and region should be utilized for suitable economic indicators when benchmarking wine businesses for future assessments of economic sustainability. Hereby, this paper provides a first step in making economic sustainability less subjective for the German wine industry and how to move forward in regards to benchmarking within empirical frameworks and tools of economic sustainability.
... Timeliness is closely tied to the method and efficiency of receiving, sorting, and transmitting, particularly when choosing the route of conveyance (Yang & Wang, 2019). The four characteristics that can be used to gauge timeliness are the total logistics cycle time, total production cycle time, delivery cycle time, and new demand reaction time (Garcia et al., 2012). The entire distribution process cycle is the typical amount of time it takes from when an order is placed until it reaches the client. ...
With recent technological advancements, internationalization, and, of course, the epidemic of COVID-19, the number of electronic retail planning activities has grown rapidly. But the goal of this research is to examine how Gen Z perceives the quality of electronic retail logistics services for home delivery during a pandemic and to pinpoint the aspects of electronic retail logistics service quality that influence the Satisfaction of customers. Additionally, it seeks to discover whether there exists a relationship between the degrees of consumer delight and brand adherence among those Gen Z customers who shop online. An email-based survey was used to gather data from 302 online shoppers in Bangalore, India. The association between the selected factors has been investigated using Structural Equation Modelling (SEM). Customers are more likely to be satisfied when orders are delivered on time, in good condition, accurately, and without difficulties. Customer loyalty and Satisfaction of customers were found to be positively correlated.
... In fact, McMillan (2012) suggests that wine producers face a "hypercompetitive" business environment, which systematically diminishes their profits. Therefore, improving the efficiency of the supply chain becomes a critical factor to remaining competitive in a market that is increasingly global and competition increasingly intense (Garcia et al. 2012). ...
The wine industry is a highly competitive sector for which any efficiency improvement in the wine supply chain plays a critical role in maintaining or increasing profitability. Literature shows several successful applications of operational research tools at each stage of the wine production process. However, unlike other stages, the transportation and distribution phase has not been given the same attention in the specialized literature. To bridge this gap, this article proposes an integer linear programming model to jointly determine a plan for the bottling and transportation of products to ports in order to minimize inventory, freight, and delay costs. This model can be optimally solved in less than one day for small instances of up to 25 jobs. In practice, however, some industrial instances can easily exceed 200 jobs, which precludes the use of this model to support decision-making. To cope with this issue, we devise a two-stage procedure that generates good-quality solutions for industrial-size instances of this problem in reasonable computing times. Particularly, we show that the GAP of the proposed heuristic solution is relatively low for a wide range of instances. Finally, a case study is conducted on a medium-sized Chilean winery we worked with, where the planning generated by the proposed heuristic reduces the costs corresponding to the transportation stage by 45.3% in the best case, compared to the initial planning of the winery.
... The literature has proposed different methodologies and dimensions for evaluating logistics performance [e.g., Garcia et al. (2012), Gong & Yan (2015), Wudhikarn et al. (2018)], but most of them focus on structure rather than on procedure (Folan & Browne, 2005;Gutierrez et al., 2015). For example, Bowersox & Closs (2011) and Gutierrez et al. (2015) design a general logistics performance model, but usually the methodologies are specific related to a logistics area or application [e.g., Moons et al. (2019) present a logistics performance measurement model for hospital, Shaik & Abdul-Kader (2014) propose a performance measurement system for reverse logistics enterprises and Irfani et al. (2019) developed a framework to measure logistics performance in company with multiple roles]. ...
... Therefore, these 132 indicators were evaluated to discard duplicates and group analogous indicators. An example of grouping similar indicators is the final indicator name "Warehouse capacity utilization", mentioned by Gutierrez et al. (2015) as "Utilization of storage capacity", by Staudt et al. (2015) as "Warehouse capacity utilization" and by Garcia et al. (2012) as "Warehouse utilization percentage". ...
... The "responsiveness" category includes indices such as fill rate or customer's response time, while finally, the "food quality" category includes KPIs that evaluate the characteristics of the production system, environmental impact and marketing (Li et al., 2021). The analysis carried out by Garcia et al. (2012) aimed at measuring the logistics performance of a wine supply chain. As many food systems, a wine supply chain is a complex system, in that the nature of the product calls for the application of a mixed push/pull strategy; also, the number of players at the various levels is wide, involving difficulties in their relationships. ...
The study aims to delineate a framework for the measurement and evaluation of supply chain performance in the food sector. The proposed approach grounds on the well-known LARG (lean, agile, resilient, and green) perspectives, for which the relating literature is analysed, and the available metrics are reviewed with a specific focus on the food sector. This allows for the development of an appropriate performance measurement system for the food supply chain.
... Previous efforts have studied the wine supply chain holistically, focusing mainly on logistics performance indicators (Chandes et al. 2003;Garcia et al. 2012;Smit et al. 2017;Díaz-Reza et al. 2018;Varas et al. 2020b) and sustainability issues (Cholette and Venkat 2009;Rugani et al. 2013;Varsei and Polyakovskiy 2017;Ponstein et al. 2019;Fragoso and Figueira 2020). In all wine supply chain stages, operations research models and methodologies have been used to improve efficiency and reduce costs (Moccia 2013). ...
Horizontal collaboration is a strategy that has increasingly been used for improving supply chain operations. In this paper, we analyze the benefits of using a collaborative approach when optimally planning the wine grape harvesting process. Particularly, we assess how labor and machinery collaborative planning impacts harvesting costs. We model cooperation among wineries as a coalitional game with transferable costs for which the characteristic function vector is computed by solving a new formulation for planning the wine grape harvesting. In order to obtain stable coalitions, we devise an optimization problem that incorporates both rationality and efficiency conditions and uses the Gini index as a fairness criterion. Focusing on an illustrative case, we develop several computational experiments that show the positive effect of collaboration in the harvesting process. Moreover, our computational results reveal that the results depend strongly on the fairness criteria used. The Gini index, for example, favors the formation of smaller coalitions compared to other fairness criteria such as entropy.
... In order to showcase a more realistic case study of the agrifood sector, we have considered a wine supply chain network. Although a typical wine supply chain may consist of suppliers, wineries, bottling plants, distribution centers, and demand points [59], this strategic study includes three discrete echelons: (i) suppliers (i.e., vine growers), (ii) manufacturing sites, where wine making/ageing and bottling are taking place, and (iii) markets, in which regional warehousing/distribution centers fulfil the bottled wine demand of nearby points ( Figure 2). In order to build the OR model, a multi-objective MILP methodology was employed, including both continuous (i.e., quantity-related) and binary (i.e., location-or mode-related) variables [60]. ...
As agriculture and industry exploit more than 90% of the global freshwater resources, water overuse and degradation have emerged as critical socio-environmental challenges for both nations and corporations. In this context, the water footprint concept was introduced in order to quantify the freshwater consumption and pollution of a territory or across a product's life cycle. As research on water management in supply chains is growing, this work aims to integrate the perspective of freshwater resources into supply network configuration. Focusing on the agrifood sector, we have developed a mixed-integer linear programming model that can be used to minimize the operational costs under a water footprint cap in a wine supply chain network by selecting the optimal suppliers (vine growers), manufacturing sites (winemakers), and transportation modes (fuel-powered trucks). The optimization outcomes unveil that the wine network's configurations (struc-ture and fuel type) vary significantly depending on the values of the water footprint cap so as to balance the trade-off between economic and water-related environmental efficiency. Beyond the viticulture sector, the proposed model is anticipated to act as a paradigm for setting joint sustainable targets or caps to limit water use across supply chains.
... Most researchers (e.g., Garcia et al., 2012;Supply Chain Council, 2017) find that the primary measure of the reliability of the supply chain is a perfect order, which is calculated using Eq. (1): ...
Supplier reliability and order fulfilment performance are usually assessed using a perfect-order calculation. Information management of perfect-order estimation is frequently reduced to expert estimates and to the multiplication of probabilities of failure-free performance of some logistics operations. Moreover, perfect-order estimation is calculated without consideration of supply chain structure, possible combinations of failures, and operational policies (e.g., safety stock levels and alternative transportation routes). As a result, the existing methods frequently provide different estimates for the same statistics and cannot be consistently used in the allocation of companies’ resources to improve the order fulfilment process. This paper considers different variants of probabilistic assessment of a perfect order and proposes an approach to assess the impact of changes in parameter probabilities and number of parameters on the value of a perfect order. The proposed models are based on an analytical approach using discrete distributions of random variables. We illustrate the applicability of our approach to several numerical examples to confirm the adequacy of the proposed method. Our approach can be immediately applied in practice to assess supply and order fulfilment process reliability and to evaluate the effectiveness of various operational policies (safety stock levels or modes of transportation) to achieve some planned values of a perfect order in the supply chain.
... Avaliar o lucro, investimento da tecnologia de inovação verde, imagem verde, satisfação do cliente, consciência sustentável da alta administração, produtividade de recursos, certificação de padrões ambientais e sociais, satisfação do emprega, uso de substância perigosa, programas de treinamento / horas de funcionários Avaliar e selecionar desempenho sustentável do fornecedor(Bai e Sarkir, 2014), atividades que influenciam o meio ambiente e os custos em rede logística(Neto et al., 2008).Comparação entre desempenho ao longo da cadeia de suprimentos(GARCIA et al., 2012). Atendimento do cliente, estratégia de mercado e de logística(OLSSON e SHULEMAJA, 2015). ...
