Desarrollo de un modelo de gestión en servicios de apoyo en empresa biotecnológica

Autores/as

DOI:

https://doi.org/10.17533/udea.redin.20220268

Palabras clave:

Modelo de gestión, satisfacción del cliente, modelo de aseguramiento de procesos, modelo de servicio, control de gestión

Resumen

Los servicios de apoyo son de gran importancia para el correcto desempeño de los procesos claves, en el caso de la industria biotecnológica, no a menudo analizados en su desempeño de excelencia. Este trabajo tiene como propósito proponer un modelo de desarrollo de la Gestión de Servicios de Apoyo, que resalte cómo este impacta en el nivel de satisfacción del cliente del sistema logístico de las empresas biotecnológicas en las condiciones de Cuba, sin embargo, este puede ser aplicado en otros contextos. Para ello se esclarecen elementos básicos en los modelos de gestión y servicio como base teórica de la investigación. Como metodología se emplea la experimentación y el estudio de casos; se presenta un servicio de apoyo a la producción en la industria biotecnológica. Se determina el nivel de satisfacción del cliente y costos incurridos; además, se tiene en cuenta la influencia del nivel de integración de los servicios de apoyo en los resultados del modelo. Este documento brinda los resultados del modelo y su aplicación en una industria biotecnológica de Cuba, mediante un procedimiento de implementación. Esta investigación satisface la necesidad identificada de mejorar la satisfacción de los clientes internos a partir de la entrega con calidad y en tiempo de los recursos; al mismo tiempo que se reducen o mantiene los costos del sistema logístico, pues los principales costos deben estar en los servicios clave.

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Biografía del autor/a

Daimée Padilla-Aguiar, Centro de Inmunología Molecular

Doctor en Inmunología Molecular

José Antonio Acevedo-Suárez, Universidad Tecnológica de La Habana

Doctor en Ciencias

Ana Julia Urquiaga Rodríguez, Universidad Tecnológica de La Habana

Doctora en Ciencias Técnicas

Ana Julia Acevedo Urquiaga, Fundación Universitaria San Mateo

Doctora en Ciencias Técnicas

Neyfe Sablón Cossío, Universidad Técnica de Manabí

Doctor en Ciencias Técnicas

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2022-02-23

Cómo citar

Padilla-Aguiar, D. ., Acevedo-Suárez, J. A., Urquiaga Rodríguez, A. J., Acevedo Urquiaga, A. J. ., & Sablón Cossío, N. (2022). Desarrollo de un modelo de gestión en servicios de apoyo en empresa biotecnológica. Revista Facultad De Ingeniería Universidad De Antioquia, (106), 25–35. https://doi.org/10.17533/udea.redin.20220268

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Núm. 106 (2023): Revista Facultad de Ingeniería (Jan-Mar 2023)

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1. Introduction

Innovation and high technology companies such as those in the biotech sector, constitute not only a dynamic field of research and generation of new knowledge, but also an economic engine that allows the creation of companies based on innovation [1].

Cuban biotechnology has advanced towards a working system focused on business management processes and techniques that thoroughly permeate every area of the organizations in this sector [2]. However, development and improvement are centered on these companies’ key processes, leaving support services behind.

At the international level, specialized companies are contracted to provide conventional services; however, in the Cuban context, most of these services are contracted internally. Half of the eight biotechnology companies of the Cuban Scientific Facilities Cluster manage their own support services, i.e., none of them has outsourced services and the remaining half use mixed systems. Within the mixed systems, only 25% of services (8) are outsourced to Transmetro, SERVIGEN and cooperatives1.

The country is in no condition to undertake the outsourcing of all support services. Studies on the situation of logistics and value networks in Cuban companies [3-7] reveal the following deficiencies: conceptual and managerial aspects are the main causes of delays in the performance of the logistic system of the companies under study; postgraduate training in this area and the application of the content of logistics to management are insufficient and result in inefficient use of available resources; the companies included in the Value Network Model are evaluated as medium level. The elements that were identified as being in the low-medium range of evaluation include: integration management, customer service, demand management, innovation management and staff, product or service development; another weakness is that the customer is not always seen as the main link of the entire value chain, from the demand to the delivery of the service.

The situation of logistics in recent years has not changed significantly. Companies are waiting for an external result; that is to say, they are waiting for the environment to change, but management must be undertaken on the basis of the organizations’ internal conditions. Under the new forms of business management, it has become a challenge to offer good-quality conventional services that are well designed and aligned, and satisfy customers’ needs based on the requirements and characteristics of logistic systems.In the case of the Molecular Immunology Center (CIM, by its Spanish acronym), which is a biotechnological institution, the examination of its support processes [8-11] shows that the general evaluation of the application of the Logistics Reference Model was low, with a grade of 2.45 points; there is insufficient innovation in support processes of the supply chain and administrative management; financing-related deficiencies were detected in the management of engineering systems and the replacement of obsolete equipment; and the performance of processes and logistics has been low with respect to the completion of authentication procedures abroad and the calibration of standards and equipment. Likewise, there have been problems with the purchase of supplies for research, and the availability of funds for research, development and production.

For the development of the closed cycle, it is necessary to create and improve support services with a high level of knowledge integration, which will allow taking logistics to higher levels, in order to meet the demands of the key processes of the CIM. In this organization, support services for research and production are being delivered in different areas, while conventional support services are concentrated in SERVICIM.

Since 2000, there has been research work on the management system of CIM’s support services [12]; in 2012, integrated management was proposed as an alternative for improvement [13] and in 2014, the integration level of the management system was measured for the first time [14].

As a result of this last analysis, it was determined that problems are caused by the low level of development and integration of the management, information and planning systems of support services, making it impossible to increase their effectiveness within biotechnology companies. Therefore, the following question may be raised: How can the integration of support services be achieved to condition an effective logistic system in a biotechnology company?

The objective of this research is to develop a Support Services Management Model (MOGESA, by its Spanish acronym), to raise the level of customer satisfaction with the logistic system in a biotechnology company.

The research method used is based on experimentation and case studies; the authors have been working on these topics from 2000 until the present. The techniques and tools applied included satisfaction surveys [15], experience sharing, brainstorming, inspection guides, consultation of documents, teamwork, and productivity discussion meetings. In addition, the authors used other techniques typical of the scientific field such as: the process approach, process maps, the Information Organizational Scheme, feasibility studies, the Process Assurance Model, the Balanced Scorecard (BSC), the Gantt Chart and the Deming Cycle.

The main results achieved were: the contents of the management model for support services in the biotechnology sector and the procedure for its implementation.

2. Theoretical bases of the model

In the literature review, the authors analyzed two variants: the models focused on services and the models based on management.

For the first variant, 13 service models were analyzed, including the molecular model [16-18], the Servuction Model [19,20], the 8 P model [21,22], the JetBlue airline model [23], the management model of the Basque government's electronic services Vasco-V005 [24], the service model unifying the beverage support services of Beam Spain [25], the AT&T model [26], the Iberia model [27], the business model Canvas [28,29], the Johnson & Johnson service model [30], and the Copa airline model [31].

Other review service models were those [32-35] (Girardo Otálora 2012; Ynzenga, 2012; Estrada, 2017; Napolitano, 2018) of the largest companies in the world in 2016, whose stock market value was over 100 billion euros. However, their models are not applicable to this type of research.

The main service models differ from each other in terms of their application: the Servuction Model applies to any service and creates a positive experience for the customer, offering a package of benefits to the consumer. The molecular model has a limited application as customers never get to know a service process as they get to know products; and managers do not develop a broader vision of their products, so they will not be able to better understand customers’ needs and the way in which they can be satisfied.

The 8 P model also has a limited application and it is most suitable to position a product or service in the market. The rest of the service models analyzed are based on the basic models and are applied according to the sector, the corporate purpose and the needs of companies. The authors consider that there are three fundamental service models that provide the basis for the other models. These models were compared as to their definition, components, factors, service experience and application.

The model to be used will be chosen according to the type of service. However, the Servuction Model is applicable to any service, and the authors believe that it is possible to organize support services on the basis of this model.

In the second phase of research, management models were investigated. These consist of a generic scheme or frame of reference for the administration of an entity; they must be centered on processes, people and technology and aligned with the mission, vision and values of the organization in order to achieve the proposed objectives [36]. Management models include the Deming Cycle for continuous improvement [37,38], the Balanced Scorecard [39,40], the result pyramid [41], the EFQM model [42], the Effective Progress and Performance Measurement [43], the SERVQUAL [44], ISO 9001/2015 [45], and ISO 20000-1: 2018 on the requirements of IT service management systems [46].

Additionally, the Process Assurance Model (MAP, by its Spanish acronym) created by Acevedo [47] under the same conditions of application of this study was also examined. This model focuses on how to guarantee processes with a systemic approach.

The models analyzed share characteristics such as the strategic approach, the form of diagnosis, the process approach and the continuous improvement of processes based on the feedback obtained from the analysis of results. These elements were taken into account for the model design proposed in this research. The analysis of these models formed the theoretical basis for the MOGESA (Management Model of Support Services in Biotechnology Companies).

That is why the MOGESA is based on the integration of service and management2 models [48,49]. The service part of the model consists of the Servuction Model [19,20], while the management part is based on the combination of three pillars: the Process Assurance Model (MAP), which is a logistics model that allows differentiating the contents of management at the strategic, tactical and operational levels [47] [50-53]; the Deming Cycle (PHVA) for continuous improvement [37,38,54] and the Balanced Scorecard (BSC) to exercise management control [39,40,55,56].

Model for the management of support services in a biotechnology company

Figure 1: Model for the management of support services in a biotechnology company

Table 1:
Definition of the model’s premises, characteristics, objectives and relations with the environment

3. Methodology

This paper focuses on the development of a model favoring the management of support services and the procedure for its implementation in the Cuban context. It also takes account of the demands of the political, economic, social and environmental situation. The conventional support services provided in biotechnology companies; the variables that are directly impacted (level of customer satisfaction and cost of services); and the influence variables (level of integration of support services) that are within the scope of the organization and can determine the success or failure of the model’s application and its inputs (customer demand) and outputs (service supply).

The contents of the MOGESA are shown in Figure 1. The relationship between the pillars of the models lies in the fact that each component of the Servuction Model is managed through the corresponding elements of the MAP‘s management cycles (strategic, tactical and operational). The results of the management system are reflected in the perspectives of the BSC. For example: if the contact personnel component is adopted, it will require the assurance of the personnel and knowledge elements. The management results are reflected in the indicators of the growth and learning perspective.

The characterization of the MOGESA covers the premises, characteristics, objectives and relations with the environment to be considered by the model, as shown in Table 1.

The structure of the service model based on Servuction is described as made up of: components, definition, contents and results.

With regard to the relations of the management model with the environment, it must be clarified that the environment of the organization consists of a set of areas or subsystems that is related to the organization itself and does not necessarily coincide with its management structure, since the projection of the system is independent of its organizational structure. However, in order to facilitate the identification of the environment, the authors have assigned codes to its component parts, which are similar to the terminology used in Cuban companies.

The information that the management model exchanges with the environment can be coded as follows:

  • When the information goes from the environment towards the model.

  • XX • YY

  • XX= Code of the environment area or subsystem where the information originates

  • YY= Consecutive number of information

  • When the information goes from the model towards the environment.

  • IS • YY

  • IS= Code indicating that the information comes from the management model

  • YY= Consecutive number of information

The management model is made up of the MAP and the BSC, as shown in Table 4. The MAP, which is a logistic model, is a novel aspect of this research. The Supplier-Inputs-Process-Outputs-Customer (SIPOC) diagram shows the sequential set of main functions involved in the fulfillment of a given activity or management process, as well as the internal and external interrelations; therefore, this is a graph that accurately reflects the content of any given activity or subsystem. The SIPOC diagram can be used as a tool to balance the flow of information as all the information received comes from a specific function of another system [59].

The authors developed the SIPOCs associated with the MAP, specifically for each element of the MAP and management cycles. The objectives and responsible parties were described, in addition to inputs and their sources, activities, outputs and destinations.

4. Results

This section intends to demonstrate the results of the application of the MOGESA at the CIM from 2012 to 2018.

Stage I: Analysis and diagnosis

Step 1: Characterization of the organization

Within the CIM, the model was applied to conventional service processes in the SERVICIM Division, which is in charge of efficiently providing these services (food, transportation, logistics, energy, construction maintenance, general services, physical protection and economy) to the scientific, productive and commercial departments of the CIM and their workers.

The Vision of the organization: Becoming a leader in the provision of high-quality and fast services to CIM.

The characterization took into account: the corporate purpose of the organization and other activities complementary to the CIM’s fundamental activity; the annual work targets during the specified period; the structure of the Servuction Model, which is at the heart of the MOGESA's service model; the application of the process map reflecting the BSC’s supplier-client relationships, processes and services, procedures and indicators.

The inputs provided by the management model are detailed to obtain the corresponding outputs, through a scheme of input and output information relations. The environment areas surrounding the management model are also presented, as well as the code and the description of the meaning of the information used in order to simplify its identification. The application of the MAP to SERVICIM is shown in Figure 2.

The authors developed the organizational and informational schemes (EOIs) of each element of the MAP for the strategic, tactical and operational cycles of the logistic management model.

Taking into consideration that objectives vary annually from step 1 to step 7, a yearly analysis was carried out to achieve continuous improvement; for step 3, after the BSC analysis, the procedure for the transport service was further developed, introducing improvements in every management cycle.

A diagnosis of the services was carried out, using surveys to measure customer satisfaction, interviews with department directors and direct observation.

Surveys were applied to workers who represent between 30% and 44% of the total number of employees at the center; then, the sample was validated and the results obtained were processed according to the satisfaction surveys.

Step 2: Analysis of services

The application of the procedure from step 2 shows that there is still a significant level of dissatisfaction among customers, mainly in relation to food, transport and logistic services.

It also highlights that the problems related to food and transport reappear from time to time, and the quality of these services exhibits both high and low indicators.

Nevertheless, the historical analysis of opinion surveys reveals that the number of people satisfied with the services provided has increased, even when external limitations persist and continue to be barriers to the achievement of a better service.

In the past years, the annual report meetings of SERVICIM have allowed the detection of insufficiencies or the non-fulfillment of work objectives and these results were linked to the contents of the MAP, in order to identify logistic management problems.

Step 3: Analysis of the behavior of indicators

All processes have their own working procedures and indicators that measure their level of activity on the basis of the BSC.

The BSC of SERVICIM shows the relations between the activities carried out and the way in which processes and services are monitored throughout the specified period, including food, transport and logistic services as mentioned in their diagnosis.

Although it is not possible for all services to work under the same integrated management system, in some cases, the BSC automatically draws from the general data obtained from the management system of each service.

These indicators are reviewed every year and analyzed monthly in management meetings and measures are taken in case of any abnormality, that is to say, the cause and effect of the indicators obtained are analyzed to improve the performance of the organization.

It was confirmed that the problems detected are reflected in the process and customer-related indicators. The customer satisfaction indicator is above the target value and the level of integration coincides with the target value, which indicates that the measures applied have had a positive effect.

Then, the procedure to be applied in the transport service was further developed and its main indicators are presented in Table 2.

This table shows the rise of the process and customer indicators; however, one of the problems detected is dissatisfaction with some personnel transport routes due to the increase in the number of people that take those routes.

Stage II: Changes or measures

At this stage, the Chief of Transportation, the Transportation Operation Specialists and Technicians, bus drivers and Heads of Workshops play an important role.

Steps 4 and 5: Introduction of measures and implementation schedule.

On the basis of the results of the previous stage, a series of new measures were introduced in the transport service and implemented annually, as shown in Table 3.

Stage III: Implementation and control

Steps 6 and 7: Implementation of improvement, control and monitoring measures and their impact variables (performance indicators).

The monitoring and feedback on the tasks of the improvement project for the transport service are executed monthly at SERVICIM management meetings.

Specific content of the elements of the MAP of SERVICIM

Figure 2: Specific content of the elements of the MAP of SERVICIM

Table 2:
Management indicators of the Transport Service

After obtaining the demand-capacity balance and studying the transport routes in March 2012, it was concluded that it is necessary to contract a feasibility study. The transportation improvement project was planned for a 2-year period, but it actually took 7 years, for the following reasons: delay in the discussion and approval of the feasibility study by the organizations involved; the execution of the bus delivery schedule in two installments, as not all the buses demanded were allocated in the same year; the delayed purchase and arrival of imported vehicles and delays in the process of technical discontinuance of vehicles due to their replacement and the registration of new vehicles.

The rest of the measures mentioned below were implemented within the established timeframe, and proved to be effective for the development of the transport process: introduction of the transport management system, implementation of the transport base service, application of surveys to assess the level of customer satisfaction, installation of magnetic fuel conditioners, improvement of work orders, implementation of a new transport management system, approval and implementation of the transport base project, restructuring of the automotive workshop and implementation of a new route using route plotting.

Through the adoption of organizational and investment measures, the transport process indicators began showing a favorable behavior, which reveals an improvement in the performance of this service, aimed at achieving greater customer satisfaction.

Other improvements implemented in the rest of the services were: the development and improvement of management systems, including the generation of work orders (energy, steam and construction maintenance), invoicing and generation of service requests; food planning and logistics management; studies for the reorganization of logistic services and general food, construction maintenance, energy and transportation services, (a study was conducted on the optimal use of the working day, the distribution of functions per service and the improvement of working conditions); recoding and classification of supplies in warehouses; replacement of conventional luminaires with LED technology and installation of a water treatment plant to recover the water used in the osmosis production process.

Table 3:
Introduction of measures in the transport service
No. Introduction of measures in the transport service
1 Personnel transport routes were reorganized according to the actual concentration of personnel per municipality and the availability of passenger transport.
2 The demand for mass transportation was studied according to the daily route system.
3 The behavior of the occupancy levels of the existent mass transport capacity was studied for all routes and pick-up points, revealing the over-exploitation of buses with a passenger overload of 60%.
4 Transport consumption rates were controlled and analyzed per driver.
5 A feasibility study proposing the purchase and replacement of equipment was prepared.
6 A demand-capacity balance was issued as part of the feasibility study
7 A transport management system was implemented to handle the requests of the various areas received from the information system, which favors a better planning of the service focused on the client and its evaluation. The system is a working tool for the obtainment of statistical information and the analysis of the transport service.
8 The implementation of the feasibility study was completed, with the increase of the number of vehicles to 28 and the replacement of some of them.
9 The transport base was restructured, covering the service in all downtown areas and personnel mass transport routes. Before 2016, there were 7 buses with 448 routes covering 13 944 km annually; as of 2016, the number was increased to 12 buses for a total of 19 with 672 routes covering 23 384 km per year.
10 Biannual surveys were conducted to evaluate the quality of each type of service.
11 Magnetic fuel conditioners were installed in every vehicle to improve fuel efficiency.
12 A new transport management system was implemented (drafting of reports according to the needs, based on resolution 382/2013 and 383/2013 of the Ministry of Transport [60])
13 Work orders were improved.
14 The transport base project was approved and implemented.
15 The automotive workshop was restructured: delimitation of the workshop area for vehicle access and installation of lockers on the fence for the storage of mechanic tools.
16 A new route was implemented using route plotting: a route that departed from Santiago de las Vegas and entered Fontanar was divided into 2 routes: one leaving from Santiago de las Vegas and the other from Fontanar.

In order to raise the level of customer satisfaction, service packages were designed, revealing the level of integration of SERVICIM processes achieved through the management system; Table 4 shows the integration of service packages with the processes and elements of the MAP.

Table 4:
Integration of the service packages with the processes and elements of the MAP

5. Conclusions

The development of the MOGESA and its procedure to be applied in support services constitute the solution to the problem of this research, providing an answer to the problems identified in SERVICIM. Also, this model reveals the interaction of service activities with the scientific research, production and commercialization activities to help increase the efficiency of companies.

The design of the MOGESA covers premises, characteristics, objectives, relations with the environment, the service model components, and the elements and functions of the management model, in order to ensure continuous improvement and thus raise the level of customer satisfaction with the logistic system.

The general procedure proposed for the application of the MOGESA constitutes a working tool for the application of the management model in the strategic, tactical and operational cycles of a biotechnology company’s services.

The novelty of this research lies in the development and application of the MOGESA to conventional services in a biotechnology company under the conditions of the Cuban context, strengthened by the MAP logistic model, which encompasses all management cycles and elements.

The management of support services in the biotechnology sector by using the MOGESA has made it possible to increase the level of customer satisfaction and reduce the cost of support services.

Acknowledgements

Acknowledgments

The authors thank the Molecular Immunology Center for its support in the conduct of this research and the Technological University of Havana for its innovative knowledge.

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1 This information was gathered by the author through an exchange with the specialists of the aforementioned organizations, as there are no publications or reports on the subject.
2 The authors have taken the license to substitute the term “elements” for “components” in the Servuction Model and use the term “elements” in the Process Assurance Model to facilitate its understanding.
* Data Availability Statement: The data that supports the application of the model was obtained from several degree projects and practices of the students; as well as during the more than 10 years of work of Daimee Padilla at the Molecular Immunology Center. These data are the property of the Molecular Immunology Center and are available in its internal databases and in the University’s Library.
** Cite this article as: D. Padilla, J. A. Acevedo, A. J.Urquiaga, A. J. Acevedo and N.Sablón. ”Development of amanagement model of supportservices in biotechnologycompanies”,Revista Facultadde Ingeniería Universidad deAntioquia, no. 106, pp. 25-35,Jan-Mar 2023. [Online]. Available: https://www.doi.org/10.17533/udea.redin.20220268.
Funding: This work was supported by the Molecular Immunology Center of Havana