## 5 Conclusions and Future Work  
In this study, we attempt to tackle the challenge for the ASC regarding the need for logistic systems for planning and scheduling/rescheduling within the agro-industry. To this end, an agent-based model driven decision support system for a Mexican green coffee SC was depicted. Three scenarios of demand patterns were considered to conduct the experiments: increasing demand, unimodal demand, and decreasing demand. A simulation model underpins the decision support system taking into account the use of the SCOR-process oriented approach, a hybrid modeling perspective, agent-based modeling and DES, and an adaptive control approach. A theoretical implication of the use of the hybrid modeling  
Figure 10: Production/Input inventory/Output inventory results for increasing, unimodal and decreasing demand. perspective refers to its contribution to achieving model quality as a measure of how the agent-based simulation model appropriately represents the aspects of interest in the green coffee SC, as well as simultaneous execution of events and performance improvement through agent coordination, both benefits of agent-based modeling and simulation with DES combination reported by [PERSON] et al. [56]. A general perception of the decision-makers within the focal company regarding the functionality of the decision support system the effective response of the system to the disturbance caused by the delay in the arrival or shortage of raw materials, which requires a change in the production schedule. The decision support system can handle these changes while considering scenarios reflecting the context of green coffee production, scenarios where the demand skewed towards the end of the planning horizon, where the demand skewed towards the beginning of the planning, and where demand peaks in the middle of the planning horizon and falls under the available capacity on the first and last days of the horizon. The exhibition of the management process within the green coffee SC context may help practitioners and managers interested in implementing the agent-based modeling and simulation approach in order to increase the possibilities of successful adopting of the reactive aggregate production scheduling. A social implication for the Cherry coffee producers relates to the determination of the agricultural practices that have a significant effect on coffee yield: nutrition, pruning, and control of pests. Regarding agricultural practices in the study region, [PERSON] et al. [41] assert that producers generally do not have regulations or recommendations on the use of different varieties of coffee available to them, the culture of soil analysis is practically non-existent, and chemical fertilization is carried out through recommendations from fellow producers, for economic convenience and in some cases, on the recommendation of a commercial agrochemical company. Also, the authors state that there is a culture of control of plantation density with machete, leaving vegetal cover to avoid erosion. However, negative experiences are registered with the use of herbicides both for poisoning in the personnel who apply the product and for the degradation of the soils with frequent use, which has generated a posture of reserved use of the pesticide. Therefore, there are no experiences of pesticide use to control pests or coffee diseases. In regard to the pruning of coffee trees, the practices include sanitary pruning. Finally, the authors report that the producers do not have a multi-year management plan for plant tissue, including renewal. Future work may consist of including decision support regarding coffee harvesting scheduling and coffee commercialization. The first refers to the decision to harvest ripe Cherry coffee. The cutting of Cherry fruits in mature state results in weight gained in the scale, plus facilitates the wet benefit process, decreases waste when Parchment coffee is processed and the coffee beans gain organoleptic quality.